NDLI: Min Max Threshold Range (MMTR) based approach in palmprint authentication by phase congruency features

Content Provider	IEEE Xplore Digital Library
Author	Malik, J. Sainarayanan, G. Dahiya, R.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India (Malik, J.; Dahiya, R.) \|\| ICT Academy of Tamil Nadu, Chennai, India (Sainarayanan, G.)
Abstract	Palmprint recognition is an effective biometric authentication method to automatically identify a person's identity. In this paper, phase congruency method is proposed to extract features from a palm-print image for authentication. The phase congruency is one of the promising methods to analyse the image as it is invariant to image contrast and therefore can extract reliable features under varying illumination conditions. In addition, a Min Max Threshold Range (MMTR) method is proposed that helps in increasing overall system accuracy by matching a person with multiple threshold values. In this technique, firstly the person is authenticated at global level using Reference threshold. Secondly, the person is authenticated at local level using range of Minimum and Maximum thresholds defined for a person. Generally, personal authentication is done using reference threshold but there are chances of false acceptance. So, by using the Minimum and Maximum Thresholds range of false accepted persons at personal level, a person is identified to be false accepted or genuinely accepted. MMTR is an effective technique to increase the accuracy of the palmprint authentication system by reducing the False Acceptance Rate (FAR). Hamming Distance similarity measurement method and Sliding Window approach is used to compare the similarity/dissimilarity between two feature vectors.
Starting Page	388
Ending Page	393
File Size	313477
Page Count	6
File Format	PDF
ISBN	9781424485956
e-ISBN	9781424485949
DOI	10.1109/ICSIP.2010.5697504
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Hamming distance Databases Palmprint recognition Image edge detection Authentication Hamming Distance Phase Congruency Sliding Window Feature extraction Arrays
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

Corner Detection using Phase Congruency Features

Personal authentication using palmprint with phase congruency feature extraction method.

Personal recognition based on the Gabor features of colour palmprint images

Mobile based palmprint recognition system

A Palmprint Verification System Based on Phase Congruency Features (2008)

Palm region extraction for contactless palmprint recognition

Palmprint recognition based on phase congruency and Two-Dimensional Principal Component Analysis

Fusion of phase and orientation information for palmprint authentication

Directional Gaussian Derivative Filter Based Palmprint Authentication

Min Max Threshold Range (MMTR) based approach in palmprint authentication by phase congruency features

Similar Documents

Corner Detection using Phase Congruency Features

Personal authentication using palmprint with phase congruency feature extraction method.

Personal recognition based on the Gabor features of colour palmprint images

Mobile based palmprint recognition system

A Palmprint Verification System Based on Phase Congruency Features (2008)

Palm region extraction for contactless palmprint recognition

Palmprint recognition based on phase congruency and Two-Dimensional Principal Component Analysis

Fusion of phase and orientation information for palmprint authentication

Directional Gaussian Derivative Filter Based Palmprint Authentication

Min Max Threshold Range (MMTR) based approach in palmprint authentication by phase congruency features