Title :
The Application of Binary Particle Swarm Algorithm in Face Recognition
Author :
Cheng, Guojian ; Shi, Caiyun ; Zhu, Kai ; Gong, Kevin
Author_Institution :
Sch. of Comput. Sci., Xi´´an Shiyou Univ., Xi´´an, China
Abstract :
The Binary Particle Swarm Optimization (BPSO) algorithm is introduced for face recognition. To do this, the original face images are first transformed into feature vectors by utilizing two-dimensional Discrete Cosine Transform (DCT). Secondly, the features are selected by means of the BPSO algorithm from the feature vectors, in order to obtain the most representative features of human faces. Compared to Genetic Algorithms (GA), the BPSO algorithm can achieve a higher recognition rate by a few features. The results demonstrate that the BSPO algorithm possesses a high recognition rate for various human face recognition applications, verifying it as an effective feature selection approach.
Keywords :
discrete cosine transforms; face recognition; particle swarm optimisation; BPSO algorithm; DCT; binary particle swarm algorithm; face images; feature selection approach; feature vectors; human face recognition applications; human face representative features; two-dimensional discrete cosine transform; Discrete cosine transforms; Face; Face recognition; Feature extraction; Genetic algorithms; Particle swarm optimization; Signal processing algorithms; binary particle swarm optimization algorithms; discrete cosine transform; human face recognition;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.272
