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Proceedings of

1st International Conference on Advances in Computer, Electronics and Electrical Engineering CEEE 2012

"IDENTIFICATION SYSTEM USING FINGER KNUCKLE FEATURES"

R.D.RAUT S.S. KULKARNI
DOI
10.15224/978-981-07-1847-3-971
Pages
453 - 455
Authors
2
ISBN
978-981-07-1847-3

Abstract: “In this paper, efforts are focused to develop a compact system that consists of a finger knuckle print sensor (Sony Digital Camera) which acts as a biometric sensor unit with a direct interface to an external PC for storing finger knuckle print. Added to the finger knuckle print sensor discuss the techniques for finger knuckle recognition. Finger knuckle print sensor consists of a set of digital camera that captures the raw image of finger knuckle print. A camera (Sony DSC-W380) is fitted in the small, rectangular notch of acrylic bracket. The image of the finger knuckle print is captured through reflected light by digital camera. The Image is processed through an algorithm to extract the features set and form the finger knuckle print template for biometric authentication. Different algorithms for finger knuckle print recognition are pointed out and future researches about fusion level with correlated modality (Finger Vein) are suggested.”

Keywords: sensor, finger knuckle print, algorithm, template finger vein,

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