A Cognitive Model for Understanding Chinese Character

Abstract

Much experimental evidence has supported the idea that the brain is organized into processing streams, but how these streams are determined and how they interact to generate behavior is still a topic of active research. Based on cognitive functionalities in human vision processing, this paper propose a computational cognitive model for Chinese character understanding with detailed algorithmic descriptions. The contribution of this paper is of two folds. Firstly, we present a systematic review on psychological and neurophysiological studies, which provide collective evidence for a distributed representation of Chinese character in the human brain. Secondly, we present a computational model which simulates the distributed mechanism of object vision pathway. Experimental results show that the presented computational cognitive model outperforms other stander Chinese character vision understanding algorithms in computer science research.