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Recognizing that the development of standards is crucial to the mass adoption of biometrics, Nirph actively participates in standards initiatives at both national and international levels; Nirph currently complies and is in the process of complying with the following standards and specifications:
- Full NIST MINEX certification and Fingerprint Verification Competition (FVC) awards since 2000
- Adaptive image filtration. This algorithm eliminates noises, ridge ruptures and stuck ridges for reliable minutiae extraction – even from poor quality fingerprints – with a processing time of about 0.2 - 0.4 seconds (all times are given for a Pentium 4, 3 GHz processor).
- INCITS M1 and ISO SC37 Minutiae-Based Fingerprint Data Interchange Format:
Facilitates interoperability and efficiency in terms of storage for minutiae-based fingerprint templates. Final, published standard at national level (ANSI/INCITS 378-2004, Information Technology: Finger Minutiae Format for Data Interchange).
- Features generalization mode. This fingerprint enrollment mode generates the collection of generalized fingerprint features from a set of fingerprints of the same finger. Each fingerprint image is processed and features are extracted. Then the features collection set is analyzed and combined into a single generalized features collection, which is written to the database. This way, the enrolled features are more reliable and the fingerprint recognition quality considerably increases.
- BioAPI: ANSI/INCITS 358-2002:
Defines a method for biometric software applications to interface with underlying biometric services and technologies. Open-system, consensus standard developed by a consortium of biometric vendors, integrators, and end-users over a period of several years.
- CBEFF:
Defines a data structure for creating files of biometric data that fosters interoperability between biometric components and systems. Consists of a standard header, a biometric specific memory block (BSMB), and an optional digital signature.
- ANSI X9.84-2002:
Defines a data processing framework and requires mechanisms for cryptographically securing biometric data prior to transmission via additional security features not required by BioAPI. Compatible with BioAPI. CBEFF-compliant.
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