NDLI: Evaluating the Change in Fingerprint Directional Patterns under Variation of Rotation and Number of Regions

Content Provider	IEEE Xplore Digital Library
Author	Dorasamy, K. Webb, L. Tapamo, J.
Copyright Year	2015
Description	Author affiliation: Modelling & Digital Sci., Tshwane, South Africa (Dorasamy, K.; Webb, L.) \|\| Sch. of Eng., UKZN, Durban, South Africa (Tapamo, J.)
Abstract	Directional patterns (DPs), which are formed by grouping regions of orientation fields falling within a specific range, vary under rotation and the number of regions. For fingerprint classification schemes, this can result in misclassification due to inconsistency of patterns. Knowing the optimal angle by which to rotate the image and the optimal number of orientation regions to divide it into can be beneficial in analysing specific properties of a class. Furthermore, the number of regions directly impacts singular point (SP) detection, therefore using the optimal number of regions prevents loss of SPs. However, no previous work justifies the use of a specific number of regions or angle of rotation. More so, no explicit studies have been conducted to establish the optimal number of regions or angle of rotation that result in gaining the most information from a pattern. Therefore, this research investigates the change in DPs under the variation of rotation and number of regions to determine which condition provides the best representation of the fingerprint that is less prone to noise and minimizes inter- class variability issues with fewer possible patterns for each class. This can serve as a baseline for future works using DPs. The experiments were conducted on the Fingerprint Verification Competition (FVC) 2002 database (DB) 1a. It was found that using a small number of regions produces the most accurate SPs detection and increasing the region number to more than 6 regions drastically depletes the accuracy of SP detection. Furthermore, aligning the SPs of a fingerprint containing a single loop and delta, highlights the essential properties of a class better, with fewer layouts for each class.
Starting Page	1
Ending Page	8
File Size	13976598
Page Count	8
File Format	PDF
ISBN	9783885796398
DOI	10.1109/BIOSIG.2015.7314601
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-09
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Gesellschaft fuer Informatik
Subject Keyword	Image segmentation Accuracy Layout Noise Fingerprint recognition Electronic mail Noise measurement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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