An Intersecting Cortical Model Based Framework for Human Face Recognition
Ahmed Mahgoub, Amira A. Ebeid, Hossam-El-Deen M. Abdel-Baky, El‐Sayed A. El‐Badawy · 2008
This paper introduces a novel method for human face recognition based on a simplified approach for the Pulse Coupled Neural Network (PCNN) Algorithm. The face image is introduced to the Intersecting Cortical Model (ICM) to be iterated 200 times, and then the time signals for the faces are compared to make a decision. Experimental results for human face recognition confirm that the proposed method lends itself to higher classification accuracy relative to existing techniques.