NDLI: Face Description with Local Binary Patterns and Local Ternary Patterns: Improving Face Recognition Performance Using Similarity Feature-Based Selection and Classification Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Chi-Kien Tran Tsair-Fwu Lee Liyun Chang Pei-Ju Chao
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan (Chi-Kien Tran; Tsair-Fwu Lee) \|\| Dept. of Radiat. Oncology, Kaohsiung Chang Gung Memorial Hosp., Kaohsiung, Taiwan (Pei-Ju Chao) \|\| Dept. of Med. Imaging & Radiol. Sci., I-Shou Univ., Kaohsiung, Taiwan (Liyun Chang)
Abstract	In recent years, the binary coding of face image features, such as local binary patterns (LBP) and local ternary patterns (LTP) have become popular in face recognition systems. These local feature descriptors provide a simple and powerful means for texture description. In this paper, we present a novel approach, which uses these descriptors to represent face images, and a similarity feature-based selection and classification algorithm to improve recognition rate. The face image is first divided into small regions from which LBP and LTP histograms are extracted and concatenated into a single feature vector. The proposed algorithm is used to select the similarity features of training set and classify the face image. The experiments are conducted on the ORL Database of Faces and the Extended Yale Face Database B. The results clearly show the superiority of the proposed algorithm.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	520
Ending Page	524
File Size	564553
Page Count	5
File Format	PDF
ISBN	9781479952779
DOI	10.1109/IS3C.2014.141
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-10
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Similarity feature Histograms Local ternary patterns Accuracy Databases Face recognition Local binary patterns Local feature Classification algorithms Face
Content Type	Text
Resource Type	Article

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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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