NDLI: Enhancing accuracy for personal identification usinghierarchical based fusion of finger geometry and palm print modalities

Content Provider	IEEE Xplore Digital Library
Author	Joshi, A.A. Deshpande, P. Tavildar, A.S.
Copyright Year	2014
Description	Author affiliation: Dept. of E&TC, Vishwakarma Inst. of Inf. Technol., Pune, India (Joshi, A.A.; Deshpande, P.; Tavildar, A.S.)
Abstract	Biometric systems are widely used for accurate personal identification for access control. Unimodal systems have been well-developed and are being used extensively in different institutions, organizations and in industries. However, these systems are only capable to provide low to middle range of security feature. Thus, for enhancing security feature, the combination of two or more unimodal biometric becomes essential. This paper presents a multimodal biometric identification system based on finger geometry and palm print features of the human hand. Here paper work is divided into two modules. In the first module, the hand image is first preprocessed and finger geometry features of index, middle, ring and little fingers are extracted. Also palm print features of hand images are extracted using Harris Corner Detector. For every modality, separate matcher is used for recognition. Decisions obtained by both the matchers areANDedtogether to recognize the person. In the second module, a coarse-to-fine hierarchical feature matching is employed for efficient hand recognition. Accuracy and computation count of module 1 are compared with the results obtained by module 2.
Starting Page	1
Ending Page	4
File Size	804602
Page Count	4
File Format	PDF
e-ISBN	9781479923205
DOI	10.1109/ECS.2014.6892663
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hierarchicalmatching Image recognition Accuracy Thumb Multimodal biometric Finger geometry Feature extraction Security Palm print Decision level fusion Biomedical imaging
Content Type	Text
Resource Type	Article

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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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