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A Brief Review on Combining Left and Right Palmprint Image for More Accurate Personal Identification
Author(s) -
Pawar Pravin,
K. Bhagyashri
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017914115
Subject(s) - computer science , identification (biology) , left and right , artificial intelligence , computer vision , image (mathematics) , pattern recognition (psychology) , biology , botany , structural engineering , engineering
In this paper, an effective biometrics method based on hand geometry is presented for biometric identification or verification system. Biometrics-based authentication is a verification approach using the biological features inherent in each individual. They are processed based on the identical, portable, and arduous duplicate characteristics. The principal lines and texture are two kinds of salient features of palmprint. A few years ago , a new branch of biometrics technology, palmprint authentication was proposed whereby line and points are extracted from palms for personal identification. In this paper, we consider palmprint as a piece of lines and texture and apply palmprint identification techniques for extracting feature to palmprint authentication.

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