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Iris Recognition based on PCA for Person Identification

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IJCA Proceedings on Emerging Applications of Electronics System, Signal Processing and Computing Technologies
© 2015 by IJCA Journal
NCESC 2015 - Number 1
Year of Publication: 2015
Authors:
Aniket S. Buddharpawar
S. Subbaraman

Aniket S Buddharpawar and S Subbaraman. Article: Iris Recognition based on PCA for Person Identification. IJCA Proceedings on Emerging Applications of Electronics System, Signal Processing and Computing Technologies NCESC 2015(1):9-12, September 2015. Full text available. BibTeX

@article{key:article,
	author = {Aniket S. Buddharpawar and and S. Subbaraman},
	title = {Article: Iris Recognition based on PCA for Person Identification},
	journal = {IJCA Proceedings on Emerging Applications of Electronics System, Signal Processing and Computing Technologies},
	year = {2015},
	volume = {NCESC 2015},
	number = {1},
	pages = {9-12},
	month = {September},
	note = {Full text available}
}

Abstract

With over decade of intensive research in the field of biometric, security based applications havebeen developed. There are many biometric security systemsfor person identificationbased on palm print, face, voice, iris, etc. Many researchers have recommended PCA as an efficient algorithm for such applications due to its simplicity, accuracy, and dimensionality reduction on large dataset while retaining as much as original information as possible. This paper presents the details of PCA tool for analyzing patterns in images. This paper focuses on choosing iris as a biometric for identification since it is unique of a person and it remains unchanged over many years (throughout the life of a person). CASIA v1 database has been used in the studies of PCA for personal identification. PCA gives 85% accuracy by using Euclidean distance as a classifier.

References

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