Personal Identification Using Knuckle

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S. Ashok kumar
M.Arathi
M.Dhivya
K.Sangavi

Abstract

The work detailed in this project also investigated the potential for visible illumination palm dorsal images as a
biometric identifier. Automatically segmented images from 501 subjects, with significant majority of them acquired under
outdoor illumination, were used to ascertain matching capability from such potential identifier and encouraging results were
obtained. Our results also demonstrated that the combination of finger knuckle patterns and simultaneously extracted palm
dorsal regions can be used to further improve knuckle matching performance. The results presented from these set of
experiments should be considered preliminary, indicating great potential for this region to serve as biometric, and require
further work to achieve more accurate performance

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How to Cite
S. Ashok kumar, M.Arathi, M.Dhivya, & K.Sangavi. (2022). Personal Identification Using Knuckle. IIRJET, 2(Special Issue ICEIET). Retrieved from https://iirjet.org/index.php/home/article/view/201