Robust profile verification scheme based on ear reference coordinate system

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In this paper, a novel profile verification scheme based on the ear, contour lines and feature points from head profile images is proposed. From the side image of a human head taken by a CCD camera, the contour line of the image is extracted by the simple filling method and morphological filtering. Based on the reference coordinate set by using ear images enrolled in the database a priori, the features of the contour line such as the tip of the nose, bottom of the nose, eye point and so on are extracted. The contour of the given image is divided into segments by utilizing the extracted feature points. The directional code of each segment is proposed and the length of the segment is computed for generating the feature vector. The verification of the given profile is performed by matching these feature vectors with those of the enrolled database. The experimental results show validity of the developed method for feature extraction and profile verification.
Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
Issue Date
2004-06
Language
English
Article Type
Article
Keywords

RECOGNITION

Citation

INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v.18, no.4, pp.685 - 700

ISSN
0218-0014
DOI
10.1142/S0218001404003320
URI
http://hdl.handle.net/10203/83729
Appears in Collection
EE-Journal Papers(저널논문)
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