PATTERN RECOGNIZATION USING NEURAL NETWORK OF HAND BIOMETRICS

Amit Taneja

Abstract


In today’s world, biometric identifications are gaining more and more importance. A biometric system provides more reliable and efficient means of identity verification. The physical dimensions of a human hand known as hand or palm geometry, contains information that is capable of authenticating the identity of an individual. The hand geometry based identity verification system is being widely used in various applications like access control, time and attendance. The goal of a biometric verification system consists in deciding whether two characteristics belong to the same person or not. It explores the features of a human hand, extracted from a color photograph which is taken when the user is asked to place his/her hand on a platform especially designed for this task.

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