@inproceedings{e5790baae52c4efea8a87c4fd94ca855,
title = "Face recognition based on binary template matching",
abstract = "In this paper, a novel face recognition method based on binary face edges is presented to deal with the illumination problem. The Binary Face Edge Map (BFEM) is extracted using the Locally Adaptive Threshold (LAT) algorithm. Based on BEFM, a new image similarity metric is proposed. Experimental results show that face recognition rates of 76.32% and 82.67% are achieved respectively on 798 AR images and 150 Yale images with changed lighting conditions and facial expression variations when one sample per subject is used as the target image. The proposed method takes less time for image matching and outperforms some existing face recognition approaches, especially in changed lighting conditions.",
keywords = "Binary edge map, Binary template matching, Face recognition, Illumination",
author = "Jiatao Song and Beijing Chen and Zheru Chi and Xuena Qiu and Wei Wang",
year = "2007",
month = dec,
day = "1",
language = "English",
isbn = "9783540741701",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1131--1139",
booktitle = "Advanced Intelligent Computing Theories and Applications",
note = "3rd International Conference on Intelligent Computing, ICIC 2007 ; Conference date: 21-08-2007 Through 24-08-2007",
}