EAR RECOGNITION AND OCCLUSION

Personal identification using 2D ear images still has many problems such as occlusion mostly caused by hair, earrings, and clothes. To avoid this problem, we propose to divide the ear image into non-overlapping equal divisions and identify persons through these non-occluded parts separately and then...

Full description

Saved in:
Bibliographic Details
Published inInternational journal of computer science & information technology Vol. 4; no. 6; p. 97
Main Authors El-Desoky, B S, El-Kady, M, Rashad, M Z, Eid, Mahmoud M, Tharwat, Alaa
Format Journal Article
LanguageEnglish
Published 31.12.2012
Subjects
Classification
Division
Ear
Information systems
Occlusion
Recognition
Two dimensional
Online AccessGet full text
ISSN0975-4660
0975-3826
0975-3826
DOI10.5121/ijcsit.2012.4608

Cover

More Information
Summary:Personal identification using 2D ear images still has many problems such as occlusion mostly caused by hair, earrings, and clothes. To avoid this problem, we propose to divide the ear image into non-overlapping equal divisions and identify persons through these non-occluded parts separately and then combine outputs of the classification of these parts in abstract, rank, and measurement level fusion. Experimental results show that the increasing of recognition rate through combining small parts of non-occluded divisions of ear image.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0975-4660
0975-3826
0975-3826
DOI:10.5121/ijcsit.2012.4608