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Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

User Verification by Hierarchical Palmprint Matching

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IJCA Proceedings on Machine Learning: Challenges and Opportunities Ahead
© 2014 by IJCA Journal
MLCONF
Year of Publication: 2014
Authors:
S. Yagasudha
L. Latha
S. Thangasamy

S.yagasudha, L.latha and S.thangasamy. Article: User Verification by Hierarchical Palmprint Matching. IJCA Proceedings on Machine Learning: Challenges and Opportunities Ahead MLCONF:23-26, April 2014. Full text available. BibTeX

@article{key:article,
	author = {S.yagasudha and L.latha and S.thangasamy},
	title = {Article: User Verification by Hierarchical Palmprint Matching},
	journal = {IJCA Proceedings on Machine Learning: Challenges and Opportunities Ahead},
	year = {2014},
	volume = {MLCONF},
	pages = {23-26},
	month = {April},
	note = {Full text available}
}

Abstract

Biometric verification system has high efficiency, high recognition rate and comfortable to user's operating characteristics. Palmprint authentication system is considered to be the most reliable biometric recognition technique due to its merits such as low-cost, user-friendliness, high speed and accuracy. Real time images are captured using a scanner at a resolution of 550 x 460. Each of these gray-scale images are aligned and then used to extract palmprint features. These features are then used for authenticating users. This paper presents a hierarchical palmprint matching system that is used to reduce the computation cost by segmenting the image and matching it with the database, thereby false palmprints are rejected in the subsequent changes by comparing just a portion of the whole palmprint.

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