EAR BIOMETRIC RECOGNITION USING FEATURE EXTRACTION FOR USER IDENTIFICATION

K. Mohanapriya , Mr. B.Babu

Biometric, Ear Feature Extraction, Force Field Transformation Ear Recognition

Biometrics is the study of automatic techniques for recognizing human beings based on physical or behavioral traits. Among several biometric features, ear is quite stable because it does not vary with age and emotion. It is an important means to guarantee the quality of teaching by the standard and the optimization of the teaching process. Large amounts of data which generated in the process of teaching such as attendance, class performance, homework and testing results and so on are used to process manually. At the same time, there is quite randomness. And it is difficult to accurately reflect the teachers' working condition. This study explores the use of an Ear Visual Biometric as a measure of identification unit for the Teaching Management System in Universities and Colleges. It is significantly reduces the workload of teachers' teaching process and improved the credibility and controllability of data by the data acquisition equipment and the whole system. Ear detection and recognition is achieved through the use of Feature Extraction approaches like Force Field Transformation and Chord Point Detection Algorithm is used for better performance than the method to other algorithm.

Published Paper   E-Certificate

"EAR BIOMETRIC RECOGNITION USING FEATURE EXTRACTION FOR USER IDENTIFICATION", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 3, page no.260 - 266, March-2017, Available :https://ijsdr.org/papers/IJSDR1703042.pdf

Volume 2 Issue 3, March-2017

Pages : 260 - 266

Paper Reg. ID: IJSDR_170121

Published Paper Id: IJSDR1703042

Downloads: 000347235

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1703042

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1703042

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition