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International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.4, No.11, Dec. 2012

Biometric Palm Prints Feature Matching for Person Identification

Full Text (PDF, 537KB), PP.61-69


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Author(s)

Shriram D. Raut,Vikas T. Humbe

Index Terms

Biometrics, Morphological operation, PolyU-Palmprint-Database, Palm print recognition

Abstract

Biometrics is playing an important role for person recognition. The Biometrics identification of an individual is can be done by physiological or behavioral characteristics; where the palm print of an individual can be captured by using sensors and is one of among physiological characteristics of an individual. Palm print is a unique and reliable biometric characteristic with high usability. A palm print refers to an image acquired of the palm region of the hand. The biometric use of palm prints uses ridge patterns to identify an individual. Palm print recognition system is most promising to recognize an individual based on statistical properties of palm print image. It is rich in its features: principal lines, wrinkles, ridges, singular points and minutiae points. This paper proposes a Biometric Palm print lines extraction using image processing morphological operation. The proposed work discusses the significance; since both the palm print and hand shape images are proposed to extract from the single hand image acquired from a sensor. The basic statistical properties can be computed and are useful for biometric recognition of individual. This result and analysis will result into Total Success Rate (TSR) of experiment is 100%. This paper discusses proposed work for biometric recognition of individual by using basic statistical properties of palm print image. The experiment is carried out by using MATLAB software image processing toolbox.

Cite This Paper

Shriram D. Raut,Vikas T. Humbe,"Biometric Palm Prints Feature Matching for Person Identification", IJMECS, vol.4, no.11, pp.61-69, 2012.

Reference

[1]Conference proceeding: Chin-Chuan Han, Hsu-Liang Cheng, and Kuo-Chin, “Personal Authentication Using Palm Print Features.” ACCV2002: The 5th Asian Conference on Computer Vision, 23–25 January 2002, Melbourne, Australia.

[2]Conference proceeding: Kuanquan Wang, Xiangqian Wu, “A Novel Approach of Palm-line Extraction”, Proceedings of the Third International Conference on Image and Graphics (ICIG’04), 0-7695-2244-0/04 © 2004 IEEE

[3]Journal: Ajay Kumar, David Zhang,” Personal authentication using multiple palm print representation”,0031-3203/2005 Pattern Recognition Society. Published by Elsevier Ltd.

[4]Journal: Hiroshi Nakajima, Koji Kobayash, Koichi Ito, Takafumi Aoki, Tatsuo Higuchi, “A PALMPRINT RECOGNITION ALGORITHM USING PHASE-BASED IMAGE MATCHING”, 1424404819/06©2006 IEEE.

[5]Book: Jamie DeCoster, “Introductory Statistics Notes”, August 1, 1998

[6]Harvey Motulsky, “Statistics Guide Statistical analyses for laboratory and clinical researcher”,1999-2005 GraphPad Software, Inc.

[7]C.C. Han, H.L. Cheng, C.L. Lin and K.C. Fan, “Personal authentication using palm-print features”, Pattern Recognition, vol. 36, no. 2, pp. 371-381, 2003.