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Performance Evaluation on KVKR- Face Database using Multi Algorithmic Multi Sensor Approach

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IJCA Proceedings on International Conference on Cognitive Knowledge Engineering
© 2018 by IJCA Journal
ICKE 2016 - Number 1
Year of Publication: 2018
Authors:
Siddharth B. Dabhade
Nagsen S. Bansod
Yogesh S. Rode
M. M. Kazi
K. V. Kale

Siddharth B Dabhade, Nagsen S Bansod, Yogesh S Rode, M M Kazi and K V Kale. Article: Performance Evaluation on KVKR- Face Database using Multi Algorithmic Multi Sensor Approach. IJCA Proceedings on International Conference on Cognitive Knowledge Engineering ICKE 2016(1):30-35, January 2018. Full text available. BibTeX

@article{key:article,
	author = {Siddharth B. Dabhade and Nagsen S. Bansod and Yogesh S. Rode and M. M. Kazi and K. V. Kale},
	title = {Article: Performance Evaluation on KVKR- Face Database using Multi Algorithmic Multi Sensor Approach},
	journal = {IJCA Proceedings on International Conference on Cognitive Knowledge Engineering},
	year = {2018},
	volume = {ICKE 2016},
	number = {1},
	pages = {30-35},
	month = {January},
	note = {Full text available}
}

Abstract

Biometric is emerging area in the computer science for the secure various systems. Day to day life peoples are preferred to use robust and highly acceptable security system which can surpass the human errors. Many scientists are engaged to develop strong biometric system but there are a lot of challenges in the real time application. It is observed and found that researchers are only working on too old laboratory databases such as ORL. But now a day's various cost effective data acquisition sensor are coming in the market with high resolution of data. When we are using different type of data capturing devices gives difference in performance of recognition rate. In this work we have proved that recognition rate is affected by the various sensor as well as database environment. For robust face recognition system suitable algorithms are suggested to different type of sensors.

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