Fingerprint components
MegaMatcher SDK includes the following biometric components for fingerprint image capture and segmentation, fingerprint template extraction and matching, as well as biometric standards and specific image format support.
- Fingerprint Client component
- Fingerprint Contactless Capturing component
- Mobile Fingerprint Client component
- Fingerprint Image Processing component
- Fingerprint Extractor component
- Mobile Fingerprint Extractor component
- Fingerprint Matcher component
- Fast Fingerprint Matcher component
- Mobile Fingerprint Matcher component
- Mobile Fast Fingerprint Matcher component
See also:
- Product Advisor to find out what specific components will be needed for your system.
- MegaMatcher Accelerator – a high-speed matching solution for high-productivity systems:
- MegaMatcher face modality components
- MegaMatcher iris modality components
- MegaMatcher voiceprint modality components
- MegaMatcher palmprint modality components
Fingerprint Client component
The Fingerprint Client component includes the capabilities of Fingerprint Extractor component with additional fingerprint image segmentation. It also provides functionality for fingerprint template and image formats support based on biometric standards, as well as advanced image formats support.
Fingerprint Client creates fingerprint templates from fingerprint images.
Proprietary image quality control may be applied to accept only good quality fingerprint images. Advanded feedback is available to provide information if a finger is:
- too wet;
- too dry;
- pressed too much;
- pressed not enough;
- placed incorrectly with only tips of fingers visible.
The Fingerprint Client extracts a single fingerprint template in 0.6 seconds. The specified performance requires a PC or laptop with at least Intel Core i7-4771 processor.
The Fingerprint Client can generalize a fingerprint template from several images that contain the same fingerprint to improve the template's quality.
The fingerprint image segmentation module is used to separate fingerprints if an image contains more than one fingerprint. This functionality enables the Fingerprint Client component to process fingerprints from scanned tenprint card or image captured using scanners that allow to scan two or more fingers at once.
The finger anomaly detection. module identifies issues in four-finger scan images, like detecting common errors or fraudulent activities, including scanning footprints instead of hands or incorrect parts of the hand.
Fingerprint pattern classification module is included with the Fingerprint Client component to determine a fingerprint pattern class. The classification is usually used in forensics, but it also may be used to increase fingerprint matching speed. The defined classes are:
- Left Slant Loop;
- Right Slant Loop;
- Tented Arch;
- Whorl;
- Scar;
- "Unknown" – for the nondetermined classes.
The Fingerprint Client component allows to integrate support for fingerprint template and image format standards with new or existing biometric systems based on MegaMatcher SDK. These formats and standards are supported:
- Neurotechnology proprietary fingerprint template format
- BioAPI 2.0 (ISO/IEC 19784-1:2006) (Framework and Biometric Service Provider for fingerprint identification engine)
- CBEFF V1.2 (ANSI INCITS 398-2008) (Common Biometric Exchange Formats Framework)
- CBEFF V2.0 (ISO/IEC 19785-1:2006 with Amd. 1:2010, 19785-3:2007 with Amd. 1:2010) (Common Biometric Exchange Formats Framework)
- CBEFF V3.0 (ISO/IEC 19785-3:2015) (Common Biometric Exchange Formats Framework)
- ISO/IEC 19794-2:2005 with Cor. 1:2009 (Biometric Data Interchange Formats – Finger Minutiae Data (General Record and On-Card Formats))
- ISO/IEC 19794-2:2011 with Cor. 1:2012 (General Record and On-Card Formats) and Amd.2:2015 (XML encoding and clarification of defects)
- ISO/IEC 19794-4:2005 with Cor. 1:2011 (Biometric Data Interchange Formats - Finger Image Data)
- ISO/IEC 19794-4:2011 with Cor. 1:2012 (Biometric Data Interchange Formats - Finger Image Data) and Amd. 2:2015 (XML encoding and clarification of defects)
- ISO/IEC 29794-1:2016 (Biometric sample quality)
- ISO/IEC 39794-4:2019 (Finger image data)
- ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange)
- ANSI/INCITS 378-2009 with Amd. 1:2010 (Finger Minutiae Format for Data Interchange)
- ANSI/INCITS 381-2004 (Finger Image-Based Data Interchange Format)
- ANSI/INCITS 381-2009 with Amd. 1:2011 (Finger Image-Based Data Interchange Format)
- ANSI/NIST-CSL 1-1993 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1a-1997 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1-2000 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1-2007 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1a-2009 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 Update:2013 Edition 2 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 Update:2015 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 2015 XML Encoding, NIEM 4.0.1 version
The Fingerprint Client component allows conversion between Neurotechnology proprietary fingerprint templates, ISO/IEC 19794-2:2005, ISO/IEC 19794-2:2011, ANSI/INCITS 378-2004, ANSI/INCITS 378-2009 and ANSI/NIST-ITL templates.
The component also includes support modules for advanced image formats:
- JPEG 2000 image format support module with 1000 ppi Fingerprint Profile;
- NIST IHead image format support module;
- module with NIST Fingerprint Image Quality (NFIQ 2.1) algorithm, a standard method to determine fingerprint image quality.
-
WSQ (Wavelet Scalar Quantization) image format module allows to compress a fingerprint image up to 10-15 times, as well as read images in this format.
WSQ compression process is "lossy", meaning that the reconstructed image is not equal to the original (some information is lost).
However, the WSQ algorithm was specially designed to minimize the loss of fingerprint information therefore the reconstructed image is as close as possible to the original.
Neurotechnology's implementation of WSQ 3.1 fingerprint image compression was certified by the FBI as compliant with the accuracy requirements in the Wavelet Scalar Quantization (WSQ) Gray-Scale Fingerprint Image Compression Specification, Version 3.1.
All advanced functionality of the Fingerprint Client component can be used from C/C++, C# and Java applications on all supported platforms. .NET wrappers of Windows libraries are provided for .NET developers.
This component license also enables signature pad support.
Three licenses for the Fingerprint Client component are included with MegaMatcher 2025.2 Standard and Extended SDK. The licenses can be used on Microsoft Windows, Linux x86-64 or macOS platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Fingerprint Contactless Capturing component
The Fingerprint Contactless Capturing is designed to process photos of four-finger slaps, taken with a smartphone camera in a typical environment, offering an alternative to traditional fingerprint readers, which require a physical contact with the device.
The component is designed for using in a scenario, when a photo of four-finger slap is captured wth a smartphone camera and then processed on the same phone. The processing includes image quality estimation, background removal, separate fingers' detection on the image, fingerprint feature enhancement and segmentation,
The result of the image processing is a set of individual finger images, cropped and enhanced from the original photograph. These finger images are suiteble for template creation using Mobile Fingerprint Extractor or Mobile Fingerprint Client components.
Integrators may also consider Slap Verification SDK for creating mobile applications with similar functionality, which also offers a different, use-based licensing model.
One Fingerprint Contactless Capturing license is included with MegaMatcher 2025.2 Extended SDK. The license can be used on Android or iOS platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 Extended SDK customers.
Mobile Fingerprint Client component
The Mobile Fingerprint Client component performs fingerprint template creation from images with additional fingerprint image segmentation. It also provides functionality for fingerprint template and image formats support based on biometric standards, as well as advanced image formats support.
The component is designed to be run on ARM Linux or Android or iOS devices. The Android devices should based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz).
The component extracts a single fingerprint template in 1.2 seconds.
Proprietary image quality control may be applied to accept only good quality fingerprint images. Advanded feedback is available to provide information if a finger is:
- too wet;
- too dry;
- pressed too much;
- pressed not enough;
- placed incorrectly with only tips of fingers visible.
The Mobile Fingerprint Client can generalize a fingerprint template from several images that contain the same fingerprint to improve the template's quality.
The fingerprint image segmentation module is used to separate fingerprints if an image contains more than one fingerprint. This functionality enables the Mobile Fingerprint Client component to process fingerprints from scanned tenprint card or image captured using scanners that allow to scan two or more fingers at once.
The finger anomaly detection. module identifies issues in four-finger scan images, like detecting common errors or fraudulent activities, including scanning footprints instead of hands or incorrect parts of the hand.
Fingerprint pattern classification module is included with the Fingerprint Client component to determine a fingerprint pattern class. The classification is usually used in forensics, but it also may be used to increase fingerprint matching speed. The defined classes are:
- Left Slant Loop;
- Right Slant Loop;
- Tented Arch;
- Whorl;
- Scar;
- "Unknown" – for the nondetermined classes.
The component allows to integrate support for fingerprint template and image format standards with new or existing biometric systems based on MegaMatcher SDK. These formats and standards are supported:
- Neurotechnology proprietary fingerprint template format
- BioAPI 2.0 (ISO/IEC 19784-1:2006) (Framework and Biometric Service Provider for fingerprint identification engine)
- CBEFF V1.2 (ANSI INCITS 398-2008) (Common Biometric Exchange Formats Framework)
- CBEFF V2.0 (ISO/IEC 19785-1:2006 with Amd. 1:2010, 19785-3:2007 with Amd. 1:2010) (Common Biometric Exchange Formats Framework)
- CBEFF V3.0 (ISO/IEC 19785-3:2015) (Common Biometric Exchange Formats Framework)
- ISO/IEC 19794-2:2005 with Cor. 1:2009 (Biometric Data Interchange Formats – Finger Minutiae Data (General Record and On-Card Formats))
- ISO/IEC 19794-2:2011 with Cor. 1:2012 (General Record and On-Card Formats) and Amd.2:2015 (XML encoding and clarification of defects)
- ISO/IEC 19794-4:2005 with Cor. 1:2011 (Biometric Data Interchange Formats - Finger Image Data)
- ISO/IEC 19794-4:2011 with Cor. 1:2012 (Biometric Data Interchange Formats - Finger Image Data) and Amd. 2:2015 (XML encoding and clarification of defects)
- ISO/IEC 29794-1:2016 (Biometric sample quality)
- ISO/IEC 39794-4:2019 (Finger image data)
- ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange)
- ANSI/INCITS 378-2009 with Amd. 1:2010 (Finger Minutiae Format for Data Interchange)
- ANSI/INCITS 381-2004 (Finger Image-Based Data Interchange Format)
- ANSI/INCITS 381-2009 with Amd. 1:2011 (Finger Image-Based Data Interchange Format)
- ANSI/NIST-CSL 1-1993 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1a-1997 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1-2000 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1-2007 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1a-2009 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 Update:2013 Edition 2 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 Update:2015 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 2015 XML Encoding, NIEM 4.0.1 version
The component allows conversion between Neurotechnology proprietary fingerprint templates, ISO/IEC 19794-2:2005, ISO/IEC 19794-2:2011, ANSI/INCITS 378-2004, ANSI/INCITS 378-2009 and ANSI/NIST-ITL templates.
The component also includes support modules for advanced image formats:
- JPEG 2000 image format support module with 1000 ppi Fingerprint Profile;
- NIST IHead image format support module;
- module with NIST Fingerprint Image Quality (NFIQ 2.1) algorithm, a standard method to determine fingerprint image quality.
-
WSQ (Wavelet Scalar Quantization) image format module allows to compress a fingerprint image up to 10-15 times, as well as read images in this format.
WSQ compression process is "lossy", meaning that the reconstructed image is not equal to the original (some information is lost).
However, the WSQ algorithm was specially designed to minimize the loss of fingerprint information therefore the reconstructed image is as close as possible to the original.
Neurotechnology's implementation of WSQ 3.1 fingerprint image compression was certified by the FBI as compliant with the accuracy requirements in the Wavelet Scalar Quantization (WSQ) Gray-Scale Fingerprint Image Compression Specification, Version 3.1.
Three licenses for the Mobile Fingerprint Client component are included with MegaMatcher 2025.2 Standard and Extended SDK. The licenses can be used on Android, iOS or ARM Linux platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Fingerprint Image Processing component
The Fingerprint Image Processing component creates fingerprint templates from fingerprint images and is designed to be used in high-volume server applications, which run on server hardware with at least dual Intel Xeon Gold 6416H (2.2 GHz) processors. The component performs template extraction at a speed of 3,000 fingerprints per minute.
Proprietary image quality control may be applied to accept only good quality fingerprint images. Advanded feedback is available to provide information if a finger is:
- too wet;
- too dry;
- pressed too much;
- pressed not enough;
- placed incorrectly with only tips of fingers visible.
The component can generalize a fingerprint template from several images that contain the same fingerprint to improve the template's quality.
The fingerprint image segmentation module is used to separate fingerprints if an image contains more than one fingerprint. This functionality enables the component to process fingerprints from scanned tenprint card or image captured using scanners that allow to scan two or more fingers at once.
The finger anomaly detection. module identifies issues in four-finger scan images, like detecting common errors or fraudulent activities, including scanning footprints instead of hands or incorrect parts of the hand.
Fingerprint pattern classification module is included with the component to determine a fingerprint pattern class. The classification is usually used in forensics, but it also may be used to increase fingerprint matching speed. The defined classes are:
- Left Slant Loop;
- Right Slant Loop;
- Tented Arch;
- Whorl;
- Scar;
- "Unknown" – for the nondetermined classes.
The Fingerprint Image Processing component allows to integrate support for fingerprint template and image format standards with new or existing biometric systems based on MegaMatcher SDK.
- Neurotechnology proprietary fingerprint template format
- BioAPI 2.0 (ISO/IEC 19784-1:2006) (Framework and Biometric Service Provider for fingerprint identification engine)
- CBEFF V1.2 (ANSI INCITS 398-2008) (Common Biometric Exchange Formats Framework)
- CBEFF V2.0 (ISO/IEC 19785-1:2006 with Amd. 1:2010, 19785-3:2007 with Amd. 1:2010) (Common Biometric Exchange Formats Framework)
- CBEFF V3.0 (ISO/IEC 19785-3:2015) (Common Biometric Exchange Formats Framework)
- ISO/IEC 19794-2:2005 with Cor. 1:2009 (Biometric Data Interchange Formats – Finger Minutiae Data (General Record and On-Card Formats))
- ISO/IEC 19794-2:2011 with Cor. 1:2012 (General Record and On-Card Formats) and Amd.2:2015 (XML encoding and clarification of defects)
- ISO/IEC 19794-4:2005 with Cor. 1:2011 (Biometric Data Interchange Formats - Finger Image Data)
- ISO/IEC 19794-4:2011 with Cor. 1:2012 (Biometric Data Interchange Formats - Finger Image Data) and Amd. 2:2015 (XML encoding and clarification of defects)
- ISO/IEC 29794-1:2016 (Biometric sample quality)
- ISO/IEC 39794-4:2019 (Finger image data)
- ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange)
- ANSI/INCITS 378-2009 with Amd. 1:2010 (Finger Minutiae Format for Data Interchange)
- ANSI/INCITS 381-2004 (Finger Image-Based Data Interchange Format)
- ANSI/INCITS 381-2009 with Amd. 1:2011 (Finger Image-Based Data Interchange Format)
- ANSI/NIST-CSL 1-1993 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1a-1997 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1-2000 (Data Format for the Interchange of Fingerprint, Facial, & SMT Information)
- ANSI/NIST-ITL 1-2007 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1a-2009 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 Update:2013 Edition 2 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 1-2011 Update:2015 (Data Format for the Interchange of Fingerprint, Facial, & Other Biometric Information)
- ANSI/NIST-ITL 2015 XML Encoding, NIEM 4.0.1 version
The component allows conversion between Neurotechnology proprietary fingerprint templates, ISO/IEC 19794-2:2005, ISO/IEC 19794-2:2011, ANSI/INCITS 378-2004, ANSI/INCITS 378-2009 and ANSI/NIST-ITL templates.
The Fingerprint Image Processing component also includes advanced image formats support modules:
- JPEG 2000 image format support module with 1000 ppi Fingerprint Profile;
- NIST IHead image format support module;
- module with NIST Fingerprint Image Quality (NFIQ 2.1) algorithm, a standard method to determine fingerprint image quality.
-
WSQ (Wavelet Scalar Quantization) image format module allows to compress a fingerprint image up to 10-15 times, as well as read images in this format.
WSQ compression process is "lossy", meaning that the reconstructed image is not equal to the original (some information is lost).
However, the WSQ algorithm was specially designed to minimize the loss of fingerprint information therefore the reconstructed image is as close as possible to the original.
Neurotechnology's implementation of WSQ 3.1 fingerprint image compression was certified by the FBI as compliant with the accuracy requirements in the Wavelet Scalar Quantization (WSQ) Gray-Scale Fingerprint Image Compression Specification, Version 3.1.
One Fingerprint Image Processing component license is included with MegaMatcher 2025.2 Standard SDK and MegaMatcher 2025.2 Extended SDK. The license can be used on Microsoft Windows or Linux x86-64 platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Fingerprint Extractor component
Fingerprint Extractor creates fingerprint templates from fingerprint images. Fingerprint templates can be stored in the following formats by the Fingerprint Extractor component:
- Neurotechnology proprietary fingerprint template format;
- ISO/IEC 19794-2:2005 with Cor. 1:2009 (Biometric Data Interchange Formats – Finger Minutiae Data (General Record and On-Card Formats));
- ISO/IEC 19794-2:2011 with Cor. 1:2012 (General Record and On-Card Formats) and Amd.2:2015 (XML encoding and clarification of defects);
- ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange);
- ANSI/INCITS 378-2009 with Amd. 1:2010 (Finger Minutiae Format for Data Interchange).
Proprietary image quality control may be applied to accept only good quality fingerprint images.
The Fingerprint Extractor can generalize a fingerprint template from several images that contain the same fingerprint to improve the template's quality.
The component extracts a single fingerprint template in 1.34 seconds. The specified performance requires a PC or laptop with at least Intel Core i7-4771 processor.
One Fingerprint Extractor license is included with MegaMatcher 2025.2 Standard SDK and MegaMatcher 2025.2 Extended SDK. The license can be used on Microsoft Windows, Linux x86-64 or macOS platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Mobile Fingerprint Extractor component
The Mobile Fingerprint Extractor creates fingerprint templates from fingerprint images and is designed to be run on ARM Linux or Android or iOS devices. The Android devices should be based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz). The component extracts a single fingerprint template in 1.34 seconds.
Fingerprint templates can be stored in the following formats by the Mobile Fingerprint Extractor component:
- Neurotechnology proprietary fingerprint template format;
- ISO/IEC 19794-2:2005 with Cor. 1:2009 (Biometric Data Interchange Formats – Finger Minutiae Data (General Record and On-Card Formats));
- ISO/IEC 19794-2:2011 with Cor. 1:2012 (General Record and On-Card Formats) and Amd.2:2015 (XML encoding and clarification of defects);
- ANSI/INCITS 378-2004 (Finger Minutiae Format for Data Interchange);
- ANSI/INCITS 378-2009 with Amd. 1:2010 (Finger Minutiae Format for Data Interchange).
Proprietary image quality control may be applied to accept only good quality fingerprint images.
The Mobile Fingerprint Extractor can generalize a fingerprint template from several images that contain the same fingerprint to improve the template's quality.
One Mobile Fingerprint Extractor license is included with MegaMatcher 2025.2 Standard SDK and MegaMatcher 2025.2 Extended SDK. The license can be used on Android, iOS or ARM Linux platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Fingerprint Matcher component
The Fingerprint Matcher performs fingerprint template matching in 1-to-1 (verification) and 1-to-many (identification) modes. Also the Fingerprint Matcher component includes fused matching algorithm that allows to increase template matching reliability by:
- matching templates that contain 2 or more fingerprint records (note that Fingerprint Client component is required to perform template extraction from images that contain more than one fingerprint);
- matching templates that contain fingerprint, face, voiceprint and/or iris records (note that matching faces, irises and voiceprints requires to purchase Face Matcher, Iris Matcher and Voice Matcher components correspondingly).
The Fingerprint Matcher component matches 40,000 fingerprints per second.
One Fingerprint Matcher license is included with MegaMatcher 2025.2 Standard SDK and MegaMatcher 2025.2 Extended SDK. The license can be used on Microsoft Windows, Linux x86-64 or macOS platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Fast Fingerprint Matcher component
The Fast Fingerprint Matcher performs fingerprint template matching in 1-to-1 (verification) and 1-to-many (identification) modes. It matches 200,000 fingerprints per second and is designed for large-scale AFIS and biometric systems, which run on high-end PCs or servers hardware with at least Intel Core i7-4771 (3.5 GHz) processor.
Multi-biometric fused template matching can be achieved by combining the Fast Fingerprint Matcher component with Face, Voice and/or Iris Matchers (regular or fast versions of them can be used depending on project implementation).
One Fast Fingerprint Matcher license is included with MegaMatcher 2025.2 Standard SDK and MegaMatcher 2025.2 Extended SDK. The license can be used on Microsoft Windows, Linux x86-64 or macOS platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Mobile Fingerprint Matcher component
The Mobile Fingerprint Matcher performs fingerprint template matching in 1-to-1 (verification) and 1-to-many (identification) modes. It matches 3,000 fingerprints per second and is designed to be used in embedded or mobile biometric systems, which run on ARM Linux or Android or iOS devices. The Android devices should be based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz).
One Mobile Fingerprint Matcher license is included with MegaMatcher 2025.2 Standard SDK and MegaMatcher 2025.2 Extended SDK. The license can be used on Android, iOS or ARM Linux platform. More licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
Mobile Fast Fingerprint Matcher component
The Mobile Fast Fingerprint Matcher performs fingerprint template matching in 1-to-1 (verification) and 1-to-many (identification) modes. It matches 200,000 fingerprints per second and is designed to make fast fingerprint identification possible on stand-alone mobile devices based on Android platform. The Android devices should be based on at least Snapdragon S4 system-on-chip (Krait 300 processor with 4 cores running at 1.51 GHz).
Licenses for this component can be purchased any time by MegaMatcher 2025.2 SDK customers.
