NDLI: Similarity Measure Using Local Phase Features and Its Application to Biometric Recognition

Content Provider	IEEE Xplore Digital Library
Author	Aoyama, S. Ito, K. Aoki, T.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan (Aoyama, S.; Ito, K.; Aoki, T.)
Abstract	In the field of biometric recognition, similarity measure using local features such as Gabor-based coding, Local Binary Patterns (LBP) and Scale Invariant Feature Transform (SIFT) has been applied to various biometric recognition problems. These features, however, may not always exhibit higher recognition performance than the recognition algorithms of the specific biometric trait. In this paper, we propose a novel similarity measurement technique using local phase features for biometric recognition. The phase information obtained from 2D Discrete Fourier Transform (DFT) of images exhibits good performance for evaluating the similarity between images. The local phase features extracted from multi-scale image pyramids can handle nonlinear deformation of images. Through a set of experiments in some biometric recognition such as face, palmprint and finger knuckle recognition, we demonstrate the efficient performance and versatility of the proposed features compared with the state-of-the-art conventional algorithms.
Starting Page	180
Ending Page	187
File Size	1188432
Page Count	8
File Format	PDF
ISBN	9780769549903
ISSN	21607516
DOI	10.1109/CVPRW.2013.34
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	biometrics Quantization (signal) Image recognition Databases Face recognition Feature extraction image matching phase-only correlation Biomedical imaging Iris recognition local phase features
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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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