NDLI: Fingerprint Matching Algorithm Based on Tree Comparison using Ratios of Relational Distances

Content Provider	IEEE Xplore Digital Library
Author	Chandrasekaran, A. Thuraisingham, B.
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Sci., Texas Univ., Dallas, TX (Chandrasekaran, A.; Thuraisingham, B.)
Abstract	We present a fingerprint matching algorithm that initially identifies the candidate common unique (minutiae) points in both the base and the input images using ratios of relative distances as the comparing function. A tree like structure is then drawn connecting the common minutiae points from bottom up in both the base and the input images. Matching score is obtained by comparing the similarity of the two tree structures based on a threshold value. We define a new term called the 'M(i)-tuple' for each minutiae point which uniquely encodes details about the local surrounding region, where i = 1 to N, and N is the number of minutiae. The proposed algorithm requires no explicit alignment of the two to-be compared fingerprint images and also tolerates distortions caused by spurious minutiae points. The algorithm is also capable of comparing and producing matching scores between two images obtained from two different kinds of sensors, hence is sensor interoperable and also reduces the FNMR in cases where there is very little overlap region between the base and the input image. We conducted evaluations on the FVC-2000 datasets and have summarized the results in the concluding section
Sponsorship	ENISA Vienna Univ. of Technol. Secure Business Austria Austrian Comput. Soc
Starting Page	273
Ending Page	280
File Size	333160
Page Count	8
File Format	PDF
ISBN	0769527752
DOI	10.1109/ARES.2007.90
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics Image sensors Biomedical optical imaging Image matching Optical distortion Fingerprint recognition Solid state circuits Biosensors Optical sensors Pattern matching
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
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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