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Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System

by Bhanu Vadhwani, Vineet Khanna, Sandeep Kumar Gupta, Shubhlakshmi Agarwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 168 - Number 12
Year of Publication: 2017
Authors: Bhanu Vadhwani, Vineet Khanna, Sandeep Kumar Gupta, Shubhlakshmi Agarwal
10.5120/ijca2017913797

Bhanu Vadhwani, Vineet Khanna, Sandeep Kumar Gupta, Shubhlakshmi Agarwal . Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System. International Journal of Computer Applications. 168, 12 ( Jun 2017), 1-2. DOI=10.5120/ijca2017913797

@article{ 10.5120/ijca2017913797,
author = { Bhanu Vadhwani, Vineet Khanna, Sandeep Kumar Gupta, Shubhlakshmi Agarwal },
title = { Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 168 },
number = { 12 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-2 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume168/number12/27924-2017913797/ },
doi = { 10.5120/ijca2017913797 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:15:55.674970+05:30
%A Bhanu Vadhwani
%A Vineet Khanna
%A Sandeep Kumar Gupta
%A Shubhlakshmi Agarwal
%T Performance of Gabor mean Feature Extraction Techniques for Ear Biometrics Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 168
%N 12
%P 1-2
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Ear biometric recognition is used in a lot of applications as person identification in criminal cases, investigation, and security purpose. Feature optimization stage has an important role for accuracy of correct recognition. Gabor filter have a problem of high dimension and high redundancy. Sampling filter is a problem of not reducing features optimum way. In the proposed Gabor feature extraction technique the Gabor features are filtered using proposed mean filter and obtained optimum features for ear biometric dataset.

References
  1. Anshul Khairwal,Kumar Abhishek,Surya Prakash,Tej,“A Comprehensive Study of Various Biometric Identification Techniques”,in International Conference on ICCCNT, IEEE, 2012.
  2. Fajri Kurniawan, Mohd. Shafry Mohd. Rahim, “A Review on 2D Ear Recognition”, in 8th International Colloquium on Signal Processing and its Applications, IEEE, 2012.
  3. Gonzalez, Alvarez and Mazorra,“Normalization and Feature Extraction on Ear Images”, in International Conference on Security Technology, IEEE, 2012.
  4. Bao-Qing Zhang, Zhi-Chun Mul, Hui Zeng, Hong-Bo Huang, “Ear Recogniton Based On Gabor Scale Information”, Proceedings of the 2013 International Conference on Wavelet Analysis and Pattern Recognition, Tianjin, 14-17 July, 2013.
  5. Karuna Soni, Umesh Kumar, Sandeep K. Gupta, Shubhlakshmi, “A New Gabor Wavelet Transform Feature Extraction Technique for Ear Biometrics Recognition”, 7th IEEE International Conference on Power India International Conference, 2014.
  6. ] Dosodia, Priya, Amarjeet Poonia, Sandeep K. Gupta, and Shubh Lakshmi Agrwal. "New Gabor-DCT feature extraction technique for facial expression recognition." In Communication Systems and Network Technologies (CSNT), 2015 Fifth International Conference on, pp. 546-549. IEEE, 2015.
  7. D Verma, V.P. Dhaka, S. Agrwal, “An Improved average Gabor Wavelet filter Feature Extraction Technique for Facial Expression Recognition”, International Journal on Innovations in Engineering and Technology, Volume-2 issue-4,2013 (ISSN: 2319-1058).
  8. ShubhLakshmi Agrwal, Anita Yadav, Umesh Kumar, Sandeep Kumar Gupta,“ Improved Invisible Watermarking Technique Using IWT-DCT”, 5th International Conference on Reliability, Infocom Technologies and Optimization(ICRITO), IEEE, 2016.
  9. S. L. Agrwal, M. Sharma, D. Kumari and S. K. Gupta, "Improved image compression technique using IWT-DCT transformation," 2016 2nd International Conference on Next Generation Computing Technologies (NGCT), Dehradun, India, 2016, pp. 683-686.
  10. N. Janu, S.K. Gupta, P. mathur, S.L. Agrwal , Performance Analysis of Frequency Domain based Feature Extraction Techniques for Facial Expression Recognition”, International Conference on CONFLUENCE, IEEE, 2017.
  11. Sandeep, Shubhlakshmi, Yogesh, Neeta, “A Hybrid method of Feature Extraction for Facial Expression Recognition” , in seventh international conference on Signal image Technology and Internet based systems (SITIS), page(s): 422 – 425, IEEE, 2011.
  12. Arbab-Zavar, Banafshe, and Mark S. Nixon. "Robust log-gabor filter for ear biometrics." In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on, pp. 1-4. IEEE, 2008.
  13. Kumar, Ajay, and Chenye Wu. "Automated human identification using ear imaging." Pattern Recognition 45, no. 3 (2012): 956-968.
  14. Preksha Tambi, Savita shiwani, Sandeep G.,” Performance Analysis of K-means Clustering and K-means clustering with Improved Initial means”, International Journal of Engineering Research and Technology, Vol.- 2, Issue-4, Page no-128-131, ISRSA 2013, (ISSN:2278 –0181).
Index Terms

Computer Science
Information Sciences

Keywords

Ear Biometric Recognition Gabor Filter Analysis.

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