Personal Identification with Face Biometrics using Color Local Texture Features

Face recognition (FR) has received a significant interest in pattern recognition and computer vision, due to the wide range of applications including video surveillance, biometric identification, and face indexing in multimedia contents. Recently, local texture features have gained reputation as pow...

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Bibliographic Details
Published inInternational journal of advanced computer research Vol. 3; no. 2; p. 138
Main Authors Hiremani, Vani A, Hatture, Sanjeevakumar M
Format Journal Article
LanguageEnglish
Published Bhopal Accent Social and Welfare Society 01.06.2013
Subjects
Biometrics
Color
Face recognition
Multimedia
Pattern recognition
Surface layer
Surveillance
Texture
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Summary:Face recognition (FR) has received a significant interest in pattern recognition and computer vision, due to the wide range of applications including video surveillance, biometric identification, and face indexing in multimedia contents. Recently, local texture features have gained reputation as powerful face descriptors, because they are believed to be more robust to variations of facial pose, expression, occlusion, etc. In particular, local binary pattern texture feature has proven to be highly discriminative for FR due to different levels of locality. Hence, it is proposed to employ these features along with color local texture feature for efficient FR system. The personal identification accuracy with face modality using color local texture features is around 97% is achieved.
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ISSN:2249-7277
2277-7970