ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION

AISHWARYA SHENDE; RAHUL SATHAWANE; POOJA TETE; NAINA CHANDRAVANSHI; NISHA SURJUSE

ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION

March 2018

Vol-4, Issue-2

Paper ID: 7513

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

COMPUTER ENGINEERING

Keywords

Palm print recognition Bio metrics pattern matching hand tracking local binary pattern (LBP) gradient operator probabilistic neural networks (PNN) Harris Operator.

Abstract

In this paper, we propose an innovative touch-less palm print recognition system. This project is motivated by the public’s demand for non-invasive and hygienic bio metric technology. For various reasons, users are concerned about touching the bio metric scanners. Therefore, we propose to use a low-resolution web camera to capture the user’s hand at a distance for recognition. The users do not need to touch any device for their palm print to be extracted for analysis. A novel hand tracking and palm print region of interest (ROI) extraction technique are used to track and capture the user’s palm in real time video streams. The discriminated palm print features are extracted based on a new way that applies local binary pattern (LBP) texture descriptor on the palm print directional gradient responses. Experiments show promising result by using the proposed method. Performance can be further improved when a modified probabilistic neural network (PNN) is used for feature matching.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	AISHWARYA SHENDE	RGCER
2	RAHUL SATHAWANE	RGCER
3	POOJA TETE	RGCER
4	NAINA CHANDRAVANSHI	RGCER
5	NISHA SURJUSE	RGCER

How to Cite

Use the following formats to cite this article in your research.

APA Style

SHENDE, AISHWARYA, SATHAWANE, RAHUL, TETE, POOJA, CHANDRAVANSHI, NAINA, & SURJUSE, NISHA (2018). ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 454-459.

MLA Style

SHENDE, AISHWARYA, et al. "ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 454-459.

IEEE Style

AISHWARYA SHENDE, RAHUL SATHAWANE, POOJA TETE, NAINA CHANDRAVANSHI, and NISHA SURJUSE, "ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 454-459, 2018.

Vancouver Style

SHENDE AISHWARYA, SATHAWANE RAHUL, TETE POOJA, CHANDRAVANSHI NAINA, SURJUSE NISHA. ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):454-459.

Harvard Style

SHENDE, AISHWARYA, SATHAWANE, RAHUL, TETE, POOJA, CHANDRAVANSHI, NAINA, & SURJUSE, NISHA (2018) 'ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 454-459.

Chicago Style

SHENDE, AISHWARYA, et al. "ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 454-459.

Turabian Style

SHENDE, AISHWARYA, et al. "ENHANCED PALM PRINT IMAGES FOR PERSONAL ACCURATE IDENTIFICATION." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 454-459.