Facial Ezpression Recognition Based on Field Programmable Gate Array

摘要：

In this paper, we proposed a hardware system with Field Programmable Gate Array (FPGA) for facial expression recognition which used Haar Discrete Wavelet Transform (DWT) and Cerebellar Model Articulation Controller (CMAC).Firstly, the facial expression features are automatically extracted and preprocessed to obtain the frontal view of faces. A 2D DWT IP is then used to decrease the size of images. Thirdly, a block size of the lower frequency of DWT coefficients is rearranged as input vectors with binary manner to send into the proposed CMAC IP that can rapidly obtain output using non-linear mapping with look-up table in training or recognizing phase. Finally, the experimental results demonstrated recognition rates with a block size of coefficient in lower frequency to recognize six expressions, including happiness, sadness, surprise, anger, disgust and natural to show promising recognition results.

关键词： CMAC FPGA Facial ezpression recognition Feature eztraction

作者: Jzau-Sheng Lin Shao-Han Liou Wu-Chih Hsieh Yu-Yi Liao HongChao Wang QingHua Lan

作者单位: Department of Computer Science and Information Engineering National Chin-Yi University of Technology Department of Computer Science and Information Engineering National Chin-Yi University of Technology Department of Computer Science and Information Engineering National Chin-Yi University of Technology Embedded Laboratory,Huaxia Vocation College,Xiamen,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 547-550

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）