標題: Face Recognition Based on Sparse Representation Applied to Mobile Device
作者: Chou, Kuan-Yu
Huang, Guan-Ming
Tseng, Hao-Chien
Chen, Yon-Ping
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: face recognition;face verification;sparse representation;Haar-like;Adaboost;eigenface;Android
公開日期: 2014
摘要: This paper develops an Android face recognition application for users on mobile device, and applies it in the face verification system of Samsung Galaxy SII smart phone. The developed face recognition application includes three parts, the face detection using the Viola-Jones face detection program, the feature extraction implemented by the eigenface features, and the face recognition based on the sparse representation of L2 norm minimization. Different to general learning methods, the developed application does not require a tremendous amount of time in data training and can achieve a high recognition rate even higher than 99%, for examples 99.2% for the Sheffield face database, 99.4% for the Cohn-Kanade face database and 96.5% for ORL face database. Finally, the face verification application proposed for the Samsung Galaxy SII smart phone indeed successfully verifies a face just in one second which makes it a real-time application.
URI: http://hdl.handle.net/11536/135857
ISBN: 978-1-4799-4584-9
期刊: 2014 CACS INTERNATIONAL AUTOMATIC CONTROL CONFERENCE (CACS 2014)
起始頁: 81
結束頁: 86
Appears in Collections:Conferences Paper