期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2013
卷号：2
期号：5
页码：11-18
出版社：IJCSN publisher
摘要：This paper presents a new method fast and robust for eyes detection, using Pulse-Coupled Neural Networks (PCNN). The functionality is not the same as traditional neural network because there are no training steps. Due of this feature, the algorithm response time is around tree millisecond. The approach has two components including: face area detection based on segmentation and eyes detection using edge. The both operations are ensured by PCNN The biggest region which is constituted by pixel value one will be the human face area. The segmented face zone which will be the input of PCNN for edge detection undergoes a vertical gradient operation. The two gravity’s center of close edge near the horizontal line which corresponds to the peak value of horizontal projection of vertical gradient image will be the eyes
