Fingerprint Sub-Classification: A Neural Network Approach

Fingerprint Sub-Classification : A Neural Network Approach

QC 20230607
The modern era in fingerprint identification began at the end of last century, with Sir Francis Galton and Juan Vucetich, and at the beginning of the present century with Sir Edward Henry. Fingerprints are commonly associated with law enforcement applications, like criminal identification, but recently their application has been extended to more popular areas, such as access control, driver license applications, and bank transactions. Due to the great variety of fingerprint patterns, the application of Henry’s definitions of core and delta, stated previously, is not straightforward. The FBI proposes more specialized rules for locating the SPs in different archetypes of fingerprints. Human fingerprints are the most widespread mean of person identification. The use of fingerprints in law enforcement applications deals with large databases, so classification aids to narrow the search space for further matching stage. The process of counting ridges between singular points core and delta is the basis for fingerprint subclassification.

Ingår i:Intelligent Biometric Techniques in Fingerprint and Face RecognitionBoca Raton : Informa UK Limited, s. 106-134

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