The Face Recognition Algorithm Based on Double Coding Local Binary Pattern

Author

Gao Ye ; Gao Kao

Author_Institution

Sch. of Comput. Sci. & Technol., Xi´an Univ. of Sci. & Technol., Xi´an, China

fYear

2014

fDate

24-27 Nov. 2014

Firstpage

292

Lastpage

294

Abstract

This paper proposes a new Double Coding Local Binary Pattern algorithm (d-LBP) to improve the weaknesses of traditional LBP algorithm. Firstly, it defines two thresholds: the amplitude threshold and the difference threshold, which succeed in taking full consideration of the relationship among pixel gray values and reducing sampling points. Secondly, the paper uses the d-LBP algorithm to extract statistical characteristics from each small block of the original face image. Finally, it ful fills the face recognition by using K Nearest Neighbor algorithm.

Keywords

face recognition; feature extraction; image coding; learning (artificial intelligence); statistical analysis; amplitude threshold; d-LBP algorithm; difference threshold; double coding local binary pattern; face recognition algorithm; image block; k nearest neighbor algorithm; pixel gray value; statistical characteristic extraction; Algorithm design and analysis; Binary codes; Encoding; Face; Face recognition; Feature extraction; Training; BP; d-LBP; face recognition; histogram; recognition rate;

fLanguage

English

Publisher

ieee

Conference_Titel

Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2014 13th International Symposium on

Conference_Location

Xian Ning

Print_ISBN

978-1-4799-4170-4

Type

conf

DOI

10.1109/DCABES.2014.64

Filename

6999107