A score calculation method using positional information of feature points for biometric authentication

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A lot of feature-based correspondence matching methods have been proposed in the field of computer vision, image processing and pattern recognition. These methods are also effective for biometric recognition. In general, in the case of feature-based matching methods, the matching score is calculated as a ratio between the number of feature points and corresponding points. These methods need to normalize image deformation by fitting an image transformation model to images according to the correspondence between images. Then, the matching score is calculated from the normalized images so as to take into consideration image deformation. On the other hand, this paper proposes a score calculation method which calculates a matching score from positional information of corresponding point pairs. The proposed method does not need any deformation model defined for each biometric trait to handle image deformation. The combination of the matching scores defined by the number of corresponding points and the positional information improves the performance of biometric recognition algorithms, since these scores play a complementary role in decision. Through a set of experiments using a palmprint image database, we demonstrate that the proposed method exhibits efficient performance for biometric recognition.

Original languageEnglish
Title of host publication2016 23rd International Conference on Pattern Recognition, ICPR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3049-3054
Number of pages6
ISBN (Electronic)9781509048472
DOIs
Publication statusPublished - 2016 Jan 1
Event23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico
Duration: 2016 Dec 42016 Dec 8

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume0
ISSN (Print)1051-4651

Other

Other23rd International Conference on Pattern Recognition, ICPR 2016
CountryMexico
CityCancun
Period16/12/416/12/8

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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