NDLI: Face recognition of near-infrared images for interactive smart TV

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Face recognition of near-infrared images for interactive smart TV

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Face recognition of near-infrared images for interactive smart TV

Content Provider	ACM Digital Library
Author	Kim, Dong-Ju Lee, Sang-Heon Sohn, Myoung-Kyu Kim, Hyunduk Kim, Byungmin
Abstract	In this paper, a face recognition system which can be applied to an interactive smart TV Control System is proposed. Face Recognition system using near-infrared (NIR) face images is developed because NIR images can be captured in a somewhat dark environment. The face recognition system consists of three subsystems. The first is for the registration of the user's face and the second is for the detection of the user's face. The final subsystem is for the recognition of the user via the user's face. The face recognition system is used with a interactive smart TV in order to provide personalized services such as the selection of favorite channels or parental guidance. To detect a face, we extract Uniform Local Binary Patterns (ULBP) histogram features in NIR face images and use Support Vector Machine (SVM) as a classifier. To recognize a face, we extract local Gabor binary pattern histogram sequences (LGBPHS) and compare faces using a chi-square distance measure. The experiments show the global recognition accuracy is about 97% by using our NIR face database.
Starting Page	335
Ending Page	339
Page Count	5
File Format	PDF
ISBN	9781450314732
DOI	10.1145/2425836.2425902
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Gabor filter Interactive smart tv Face recognition Local binary patterns Eye detection
Content Type	Text
Resource Type	Article

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