NDLI: The Facial Features Extraction for Face Recognition Based on Geometrical Approach

Content Provider	IEEE Xplore Digital Library
Author	Basavaraj Amarapur Patil, Nagaraj
Copyright Year	2006
Description	Author affiliation: P.D.A. Coll. of Eng., Gulbarga (Basavaraj Amarapur)
Abstract	Over the last two decades, several different techniques have been proposed for face recognition, which is one of the challenging areas of research in the field of image processing, pattern recognition and vision applications. Automatic human face identification system, e.g. security checks and crime investigation, etc. involves face recognition. The basic process consists of extraction of potential, facial features such as eyes, nose, mouth, eyebrows, etc. In the present paper, a geometrical face model proposed by Shi-Hong Jeng et al. for frontal face images is improved by the inclusion of ears and chin also as potential facial features, since it enhances the discrimination ability of the proposed face model during face recognition .The developed approach is divided into four main steps. The first step is pre processing, the goal of this step is to get rid of high intensity noises and to transform the input image into binary one. The second step includes a labeling process, which label the facial feature candidates by block by block. Then find the center, area and the orientation of each feature candidate. Third step is a geometrical model, used to measure relative distances and to locate the actual position of the entire facial features. Finally, the matching process. The modified face model has been experimented with test images and an enhanced success rate of 94% is achieved
Starting Page	1936
Ending Page	1939
File Size	4153329
Page Count	4
File Format	PDF
ISBN	1424400384
DOI	10.1109/CCECE.2006.277409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Facial features Face recognition Face detection Solid modeling Image processing Pattern recognition Humans Security Eyes Nose face recognition Feature extraction pre-processing labelling matching Geometrical model
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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