@inproceedings{eaac89c14b4341e7841461941c1442d3,
title = "Face recognition based on sparse representation applied to mobile device",
abstract = "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.",
keywords = "Adaboost, Android, Haar-like, eigenface, face recognition, face verification, sparse representation",
author = "Chou, {Kuan Yu} and Huang, {Guan Ming} and Tseng, {Hao Chien} and Yon-Ping Chen",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Automatic Control Conference, CACS 2014 ; Conference date: 26-11-2014 Through 28-11-2014",
year = "2014",
month = apr,
day = "28",
doi = "10.1109/CACS.2014.7097166",
language = "English",
series = "CACS 2014 - 2014 International Automatic Control Conference, Conference Digest",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "81--86",
booktitle = "CACS 2014 - 2014 International Automatic Control Conference, Conference Digest",
address = "美國",
}