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| This paper show how biologically inspired methods can be applied to a variety of face image analysis. Spiking cortical model (SCM) based on the observation of the visual cortex nerve cell of cats and simulating the activities of the visual nerve cell. It has demonstrated that SCM can effectively extract invariant image feature. The feature is inherent in an image, and describes the regional information, edges, shapes, segments and textures in the image. In this paper, the pulse images, output of the system of SCM, are developed for face image representation. The experimental results show that pulse images very suitable to process face images, and its application on face recognition achieve high accuracy and it is a robust scheme for face modeling systems. |
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| Keywords:Pulse images, Face analysis, PCNN, Composite correlation filters |
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