NDLI: Face recognition by edge distribution

Content Provider	IEEE Xplore Digital Library
Author	Byung-Woo Min He-Sub Yoon Jung Soh Young-Kyu Yang
Copyright Year	1997
Description	Author affiliation: Image Processing Div., Syst. Eng. Res. Inst., Taejeon, South Korea (Byung-Woo Min)
Abstract	Summary form only given. Human beings have a remarkable ability to recognize human faces. Though many face recognition methods have been proposed, it is still very difficult to recognize human faces using image processing techniques. In this paper we consider that edges are an important factor for recognizing human faces. It is well known that a caricaturist represents the characteristics of a human being using only several lines. From this point of view, we have a consideration that the edge distribution on a human face becomes a good feature for face recognition. In our algorithms, a face region is segmented from the captured image in the natural office environment and then eyes and mouth are detected Based on the detected eyes and mouth, firstly the rectangular region on a face is bounded by eyes and the lower lip and the edge density of this rectangular region is normalized by the value of 20% edge density. The procedure of edge density normalization are as followings: 1) make distribution histogram of pixels using gray values, 2) determine the threshold gray value at 20% rank from the highest value, 3) select pixels which have a higher gray value than rite threshold value. Secondly, this rectangular area is divided into 10/spl times/10 cells and each cell has the edge distribution value itself. Thirdly, edge distribution of 10/spl times/10 cells are compared to that of model patterns and then the most similar model is selected as the first candidate.
File Size	90063
File Format	PDF
ISBN	0780340809
DOI	10.1109/AIM.1997.652885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-20
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Humans Image edge detection Face detection Eyes Mouth Image recognition Image processing Image segmentation Histograms
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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