The Application of a Convolution Neural Network on Face and License Plate Detection

Authors:
Ying-Nong Chen;Chin-Chuan Han;Cheng-Tzu Wang;Bor-Shenn Jeng;Kuo-Chin Fan
Affiliations:
National Central University, Taiwan;National Central University, Taiwan;Fo-Guang University, Taiwan;National Central University, Taiwan;National Central University, Taiwan
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Year:
2006

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Abstract

In this paper, two detectors, one for face and the other for license plates, are proposed, both based on a modified convolutional neural network(CNN) verifier. In our proposed verifier, a single feature map and a fully connected MLP were trained by examples to classify the possible candidates. Pyramid-based localization techniques were applied to fuse the candidates and to identify the regions of faces or license plates. In addition, geometrical rules filtered out false alarms in license plate detection. Some experimental results are given to show the effectiveness of the approach. Keywords: Face detection, license plate detection, convolution neural network, feature map.