NDLI: An Efficient Ear Identification System

Content Provider	IEEE Xplore Digital Library
Author	Kisku, D.R. Gupta, S. Gupta, P. Sing, J.K.
Copyright Year	2010
Abstract	This paper proposes a robust ear identification system which is developed by fusing SIFT features of color segmented slice regions of an ear. It makes use of Gaussian mixture model (GMM) to build ear model with mixture of Gaussian using vector quantization algorithm and K-L divergence is applied to the GMM framework for recording the color similarity in the specified ranges by comparing color similarity between a pair of reference ear and probe ear. SIFT features are extracted from each color slice region as a part of invariant feature extraction. The extracted keypoints are then fused separately by the two fusion approaches, namely concatenation and the Dempster-Shafer theory. Finally, the fusion approaches generate two independent augmented feature vectors for identification of individuals separately. The proposed technique is tested on IIT Kanpur ear database of 400 individuals and is found to achieve 98.25% accuracy for identification of top 5 best matches.
Starting Page	1
Ending Page	6
File Size	348670
Page Count	6
File Format	PDF
ISBN	9781424469482
e-ISBN	9781424469505
DOI	10.1109/FUTURETECH.2010.5482749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-21
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Computer vision Lighting Ear Feature extraction Robustness Spatial databases Pattern recognition Object recognition Principal component analysis
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An evaluation of bi-modal facial appearance+facial expression face biometrics

Ear Recognition by means of a Rotation Invariant Descriptor

Ear recognition using LLE and IDLLE algorithm

Representative feature chain for single gallery image face recognition

An efficient feature selection scheme based on genetic algorithm for ear biometrics authentication

An evaluation of face and ear biometrics

Information fusion in face identification

Online personal identification in night using multiple face representations

Robust 2D Ear Registration and Recognition Based on SIFT Point Matching

An Efficient Ear Identification System

Similar Documents

An evaluation of bi-modal facial appearance+facial expression face biometrics

Ear Recognition by means of a Rotation Invariant Descriptor

Ear recognition using LLE and IDLLE algorithm

Representative feature chain for single gallery image face recognition

An efficient feature selection scheme based on genetic algorithm for ear biometrics authentication

An evaluation of face and ear biometrics

Information fusion in face identification

Online personal identification in night using multiple face representations

Robust 2D Ear Registration and Recognition Based on SIFT Point Matching

An Efficient Ear Identification System