A Novel Riesz Transforms Based Coding Scheme for Finger-Knuckle-Print Recognition

It is well recognized that in biometric systems feature extraction and representation are key considerations. Among various feature extraction and representation schemes, coding-based methods are most attractive because they have the merits of high accuracy, robustness, compactness and high matching...

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Published in:2011 International Conference on Hand-Based Biometrics pp. 1 - 6
Main Authors: Lin Zhang, Hongyu Li, Ying Shen
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2011
Subjects:
Band pass filters
Encoding
Feature extraction
Gabor filters
Image coding
Transforms
ISBN:1457704919, 9781457704918
Online Access:Get full text
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Abstract It is well recognized that in biometric systems feature extraction and representation are key considerations. Among various feature extraction and representation schemes, coding-based methods are most attractive because they have the merits of high accuracy, robustness, compactness and high matching speed, and thus they have been adopted in many different kinds of biometric systems, such as iris, palmprint, and finger-knuckle-print (FKP) systems. However, how to devise a good coding scheme for FKP recognition is still an open issue. In this paper, based on the finding that Riesz transforms can well characterize the visual patterns, we propose to encode the local patches of an FKP image by using 2nd-order Riesz transforms. Specifically, we propose a 6-bits coding scheme, namely RieszCompCode, which consists of 6 bit-planes. In RieszCompCode, three of the bit-planes are obtained by binarizing the image's responses to the three 2nd-order Riesz transforms, and the other three ones are from the classical CompCode scheme. Experiments conducted on the benchmark PolyU FKP database corroborate that the proposed RieszComopCode can surpass all the other coding schemes evaluated for FKP verification in terms of verification accuracy.
AbstractList It is well recognized that in biometric systems feature extraction and representation are key considerations. Among various feature extraction and representation schemes, coding-based methods are most attractive because they have the merits of high accuracy, robustness, compactness and high matching speed, and thus they have been adopted in many different kinds of biometric systems, such as iris, palmprint, and finger-knuckle-print (FKP) systems. However, how to devise a good coding scheme for FKP recognition is still an open issue. In this paper, based on the finding that Riesz transforms can well characterize the visual patterns, we propose to encode the local patches of an FKP image by using 2nd-order Riesz transforms. Specifically, we propose a 6-bits coding scheme, namely RieszCompCode, which consists of 6 bit-planes. In RieszCompCode, three of the bit-planes are obtained by binarizing the image's responses to the three 2nd-order Riesz transforms, and the other three ones are from the classical CompCode scheme. Experiments conducted on the benchmark PolyU FKP database corroborate that the proposed RieszComopCode can surpass all the other coding schemes evaluated for FKP verification in terms of verification accuracy.
Author Hongyu Li
Lin Zhang
Ying Shen
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  surname: Lin Zhang
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  email: cslinzhang@tongji.edu.cn
  organization: Sch. of Software Eng., Tongji Univ., Shanghai, China
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  surname: Hongyu Li
  fullname: Hongyu Li
  email: hyli@tongji.edu.cn
  organization: Sch. of Software Eng., Tongji Univ., Shanghai, China
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  surname: Ying Shen
  fullname: Ying Shen
  email: csyingshen@gmail.com
  organization: Dept. Comput. Sci., City Univ. of Hong Kong, Hong Kong, China
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Snippet It is well recognized that in biometric systems feature extraction and representation are key considerations. Among various feature extraction and...
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SubjectTerms Band pass filters
Encoding
Feature extraction
Gabor filters
Image coding
Transforms
Title A Novel Riesz Transforms Based Coding Scheme for Finger-Knuckle-Print Recognition
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