NDLI: Automatic Identification and Detection of Altered Fingerprints

Content Provider	IEEE Xplore Digital Library
Author	Selvarani, S. Jebapriya, S. Mary, R.S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Applic., Fatima Coll., Madurai, India (Selvarani, S.; Jebapriya, S.; Mary, R.S.)
Abstract	Fingerprint recognition is one of the most commonly used biometric technology. Among various modalities of biometrics, fingerprints are known to have the longest history of actual use in law enforcement applications with proven performances. The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control applications has heightened the need for ensuring that these systems are not compromised. While several issues related to fingerprint system security have been investigated, including the use of fake fingerprints for masquerading identity, the problem of fingerprint alteration or obfuscation has received very little attention. Fingerprint obfuscation refers to the deliberate alteration of the fingerprint pattern by an individual for the purpose of masking his identity. Fingerprint alteration refers to the deliberate alteration of the fingerprint pattern by a person for masking his/her identity. This paper presents a new method for identifying and detecting altered fingerprints based on fingerprint orientation field reliability. The main contributions of this paper are: 1) compiling case studies of incidents where individuals were found to have altered their fingerprints, 2) analysis by investigating the impact of fingerprint alteration on the accuracy of a commercial fingerprint matcher, 3) classifying the alterations into three major categories and suggesting possible countermeasures, 4) developing a technique to automatically detect altered fingerprints based on analyzing orientation field. Experimental results show the feasibility of the proposed approach in detecting altered fingerprints and highlight the need to further pursue this problem.
Starting Page	239
Ending Page	243
File Size	315309
Page Count	5
File Format	PDF
ISBN	9781479939664
DOI	10.1109/ICICA.2014.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biometrics AFIS Fingerprint Friction Surgery Thumb Fingerprint recognition Alteration Skin Identification Reliability Security
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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