Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
A probabilistic hit-and-miss transform for face localization
Pattern Analysis & Applications
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
A hierarchical neural network for human face detection
Pattern Recognition
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Automatic human face location system that uses two blinking eyes and one talking mouth to locate the only one human face embedded in Internet or video images is presented. The designed system is composed of two principal parts: The first part is to detect the potential face regions that are obtained from the criteria of "the combination of the two blinking eyes and one talking mouth". The second part of the proposed system is to perform the face verification task by using a support vector machine (SVM) classifier. The experimental results reveal that the proposed method is outstanding in terms of efficiency and accuracy.