NDLI: Hand based multibiometric authentication using local feature extraction

Content Provider	IEEE Xplore Digital Library
Author	Bhaskar, B. Veluchamy, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Commun., Anna Univ., Madurai, India (Bhaskar, B.; Veluchamy, S.)
Abstract	Biometrics has wide applications in the fields of security and privacy. Since unimodal biometrics are subjected to various problems regarding recognition and security, multimodal biometrics have been used extensively nowadays for personal authentication. In this paper we have proposed an efficient personal identification system using two biometric identifiers, palm print and Inner knuckle print. In the recent years, palm prints and knuckle prints have overruled other biometric identifiers because of their unique, stable and novelty feature. The proposed feature extraction method for palm print is Monogenic Binary Coding (MBC), which is an efficient approach for extracting palm print features. Then for inner knuckle print recognition we have tried two algorithms named Ridgelet Transform and Scale Invariant Feature Transform (SIFT). Also we have compared their results in terms of recognition rate. We then adopt Support Vector Machine (SVM) for classifying the extracted feature vectors. Combining both knuckle print and palm print for personal identification will give better security and accuracy.
Starting Page	1
Ending Page	5
File Size	389943
Page Count	5
File Format	PDF
e-ISBN	9781479949892
DOI	10.1109/ICRTIT.2014.6996136
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Monogenic Binary Coding (MBC) Fingers Authentication Transforms Feature extraction Support Vector machine (SVM) Ridgelet Transform Multimodal Biometrics Iris recognition Scale Invariant Feature Transform (SIFT)
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
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