Title :
An advanced BPNN face recognition based on curvelet transform and 2DPCA
Author :
Ye Jihua ; Hu Dan ; Xia Guomiao ; Chen Yahui
Author_Institution :
Comput. & Inf. Eng. Coll., Jiangxi Normal Univ., Nanchang, China
Abstract :
The paper proposed an advanced face recognition method of BPNN based on Curvelet transform and 2DPCA to increase the face recognition rate.. Firstly, we used Curvelet transform to process the face images, after that we got higher dimension feature of face images, then used 2DPCA to reduce the dimension, finally we got some feature vectors, which could represent the face images. We used ORL face database to conduct the experiment, some of the feature vectors to train the BPNN classifier, the others to test. we repeatedly made some of the less important feature vectors value replaced by zeros, and made the recognition result depend on big probability event . We obtained a better result In this way compared with traditional BPNN face recognition, this method can not only improve the face recognition rate, but also reduce the recognition time.
Keywords :
backpropagation; curvelet transforms; face recognition; feature extraction; image classification; image representation; neural nets; principal component analysis; probability; visual databases; 2DPCA; BPNN classifier training; BPNN face recognition; ORL face database; backpropagation neural network; curvelet transform; dimension reduction; face image dimension feature; face image processing; face images representation; face recognition rate; feature vectors; probability event; recognition time reduction; Face; Face recognition; Indexes; 2DPCA; BPNN; Curvelet; Face recognition;
Conference_Titel :
Computer Science & Education (ICCSE), 2013 8th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4673-4464-7
DOI :
10.1109/ICCSE.2013.6554063