Large-scale AFIS and multi-biometric identification.... MegaMatcher is designed for large-scale AFIS and multi-biometric systems developers. The technology ensures high reliability and speed of biometric identification even when using large databases. Available as a software development kit that allows development of large-scale single- or multi-biometric fingerprint, iris, face, voice or palm print identification products for Microsoft Windows, Linux, Mac OS X, iOS and Android platforms.
Avoid the hassles of a low level biometric SDK and Integrate a turnkey, enterprise-ready biometric identification software solution into your application in a matter of hours.
The success of a biometric system often depends on choosing the right biometric modality, but it isn’t easy. Careful research that includes rigorous comparisons of modality strengths and weaknesses is an important.
Customized biometric access control solutions generally reside in two sub-categories; custom network solutions and custom software solutions. No matter the various demands your business security requirements place on you.
Eye Iris SDK Features and Capabilities Neurotechnology began research and development in the field of eye iris biometrics in 1994 and has released VeriEye iris recognition algorithm in 2008. The original proprietary algorithm solves the limitations and drawbacks of existing state-of-the-art algorithms. VeriEye implements advanced iris segmentation, enrollment and matching using robust digital image processing algorithms: Rapid and accurate iris identification, proven by NIST IREX Robust recognition, even with gazing-away eyes or narrowed eyelids. Original proprietary algorithm solves the limitations and drawbacks of existing state-of-the-art algorithms. Available as multiplatform SDK that supports multiple programming languages. Reasonable prices, flexible licensing and free customer support.
Features and Capabilities
Neurotechnology began research and development in the field of eye iris biometrics in 1994 and has released VeriEye iris recognition algorithm in 2008. The original proprietary algorithm solves the limitations and drawbacks of existing state-of-the-art algorithms. VeriEye implements advanced iris segmentation, enrollment and matching using robust digital image processing algorithms:
Rapid and accurate iris identification, proven by NIST IREX Robust recognition, even with gazing-away eyes or narrowed eyelids. Original proprietary algorithm solves the limitations and drawbacks of existing state-of-the-art algorithms. Available as multiplatform SDK that supports multiple programming languages. Reasonable prices, flexible licensing and free customer support.
FingerPrints SDKs Rolled and flat fingerprints matching. The VeriFinger algorithm matches flat-to-rolled, flat-to-flat or rolled-to-rolled fingerprints with a high degree of reliability and accuracy, as it is tolerant to fingerprint deformations. Rolled fingerprints have much bigger deformation due to the specific scanning technique (rolling from nail to nail) than those scanned using the "flat" technique. Conventional "flat" fingerprint identification algorithms usually perform matching between flat and rolled fingerprints less reliably due to the mentioned deformations of rolled fingerprints. Tolerance to fingerprint translation, rotation and deformation Identification capability Image quality determination Adaptive image filtration Features generalization mode Compact fingerprint template Scanner-specific algorithm optimizations
Rolled and flat fingerprints matching. The VeriFinger algorithm matches flat-to-rolled, flat-to-flat or rolled-to-rolled fingerprints with a high degree of reliability and accuracy, as it is tolerant to fingerprint deformations. Rolled fingerprints have much bigger deformation due to the specific scanning technique (rolling from nail to nail) than those scanned using the "flat" technique. Conventional "flat" fingerprint identification algorithms usually perform matching between flat and rolled fingerprints less reliably due to the mentioned deformations of rolled fingerprints.
Tolerance to fingerprint translation, rotation and deformation Identification capability Image quality determination Adaptive image filtration Features generalization mode Compact fingerprint template Scanner-specific algorithm optimizations
Palm SDK Palmprint is based on ridges, principal lines and wrinkles on the surface of the palm. Ridges are When you look closely to you palm and fingers, you will notice that the skin is not smooth, but has some sort of a pattern. You will also notice that this pattern is actually formed by the raised portion of the skin. This raised portion is called ridges. When pattern is captured from your palm, then it is called a palmprint, and when captured from the tip of the finger then it is called fingerprints. Advantages of Palm SDKs: Since the palm area is much larger, hence more distinctive features can be captured compared to fingerprints. This makes it more even more suitable in identification systems than fingerprints. , Palm Scnner
Palmprint is based on ridges, principal lines and wrinkles on the surface of the palm. Ridges are When you look closely to you palm and fingers, you will notice that the skin is not smooth, but has some sort of a pattern. You will also notice that this pattern is actually formed by the raised portion of the skin. This raised portion is called ridges. When pattern is captured from your palm, then it is called a palmprint, and when captured from the tip of the finger then it is called fingerprints.
Advantages of Palm SDKs: Since the palm area is much larger, hence more distinctive features can be captured compared to fingerprints. This makes it more even more suitable in identification systems than fingerprints. , Palm Scnner
Face SDK Features and Capabilities The VeriLook algorithm implements advanced face localization, enrollment and matching using robust digital image processing algorithms, which are based on deep neural networks: Live face detection prevents cheating with a photo in front of a camera Simultaneous multiple face processing in live video and still images Gender classification and age evaluation for each person in an image Emotion recognition and facial feature points extraction Webcams or other low cost cameras are suitable for obtaining face images Available as multiplatform SDK that supports multiple programming languages Surveillance SDK is available for integrating face identification into surveillance systems Reasonable prices, flexible licensing and free customer support
The VeriLook algorithm implements advanced face localization, enrollment and matching using robust digital image processing algorithms, which are based on deep neural networks:
Live face detection prevents cheating with a photo in front of a camera Simultaneous multiple face processing in live video and still images Gender classification and age evaluation for each person in an image Emotion recognition and facial feature points extraction Webcams or other low cost cameras are suitable for obtaining face images Available as multiplatform SDK that supports multiple programming languages Surveillance SDK is available for integrating face identification into surveillance systems Reasonable prices, flexible licensing and free customer support
Voice SDK Features and Capabilities The VeriSpeak algorithm implements voice enrollment and voiceprint matching using proprietary sound processing technologies: Text-dependent algorithm prevents unauthorized access with a covertly-recorded user voice Two-factor authentication with a passphrase Text-independent algorithm Automatic voice activity detection Liveness detection Identification capability (VeriSpeak functions can be used in 1-to-1 matching (verification) and 1-to-many (identification) modes.) Multiple samples of the same phrase Fused matching , VeriSpeak SDK
The VeriSpeak algorithm implements voice enrollment and voiceprint matching using proprietary sound processing technologies:
Text-dependent algorithm prevents unauthorized access with a covertly-recorded user voice Two-factor authentication with a passphrase Text-independent algorithm Automatic voice activity detection Liveness detection Identification capability (VeriSpeak functions can be used in 1-to-1 matching (verification) and 1-to-many (identification) modes.) Multiple samples of the same phrase Fused matching , VeriSpeak SDK
MegaMatcher technology for large-scale Automated Biometric Identification Systems was introduced in 2005. Since that time the technology has been constantly improved with more than 10 major and minor versions released to date.See For More Detail
Text-dependent voice matching engine determines if a voice sample matches the template that was extracted from a specific phrase. During enrollment, one or more phrases are requested from the person being enrolled. Later that person. VeriSpeak SDKs
Full MINEX Compliance. NIST has recognized MegaMatcher fingerprint algorithm as MINEX compliant and suitable for use in personal identity verification (PIV) program applications. MegaMatcher includes fingerprint quality determination.VeriFinger SDKs
Palm Scanner offers offers feature-rich Livescans and Software Development Kits (SDKs) for all applications requiring standard compliance fingerprint enrollment, fingerprint card-scanning or fingerprint verification. Live Scans
Template generalization is used to generate a better quality template from several face images. Better quality templates result in a higher level of identification accuracy. Tolerance to face position assures a level of enrollment convenience.VeriLooks SDKs
NIST IREX proven reliability. MegaMatcher iris matching engine is based on VeriEye. Robust iris detection. Fast matching. The iris matching speed is up to 200,000 comparisons per second on a single PC. Irises are detected even . VeriEye SDKs
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