NDLI: Using Hair Follicles with Leg Geometry to Align Androgenic Hair Patterns

Content Provider	IEEE Xplore Digital Library
Author	Chan, F.K.S. Kong, A.W.-K.
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore (Chan, F.K.S.; Kong, A.W.-K.)
Abstract	Identifying criminals and victims, including but not limited to masked gunmen, rioters, paedophiles, and victims of sexual offenses in digital images can be a challenging forensic task because often, neither their faces nor tattoos are observable. Though skin marks and vein patterns provide new ways to identify them, new biometric traits are still demanded because skin marks on some subjects are limited and clear vein patterns are difficult to be obtained from people with high concentration of body fat or melanin. They can be covered by androgenic hair. A recent paper indicated that androgenic hair patterns extracted from lower legs can be used for personal identification and demonstrated their effectiveness. However, it neglected the importance of alignment before matching two patterns. To alleviate this alignment problem, leg geometry was proposed for low resolution androgenic hair patterns. For aligning androgenic hair patterns in high resolution images which may be obtained from child sexual abuse images and rioter images taken by reporters, in this paper, a new feature, androgenic hair follicles, is proposed to combine with leg geometry to achieve high alignment accuracy. With this new feature, a new alignment algorithm is developed. Experiments on 1,138 high resolution images from 283 different legs show that the proposed alignment algorithm provides improvements of 5%-10% on different experimental settings.
Starting Page	137
Ending Page	140
File Size	743686
Page Count	4
File Format	PDF
e-ISBN	9781479986576
DOI	10.1109/EISIC.2015.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-07
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hair Geometry Legged locomotion Biometrics Image resolution Androgenic hair follicles Forensics Feature extraction Cameras Gabor filters
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
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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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