Handwritten character recognition via direction string and nearest neighbor matching
This paper studies the current status of handwritten character recognition and two major problems for research.Then one of the problems of feature selection is studied.On the basis of existed research results,a new feature named direction string is put forward in this paper for handwritten character recognition.It uses stroke trend and can integrate the properties of both the traditional statistical features and structural features.A measure of distance between different direction strings is also proposed.Then a classifier for handwritten character recognition is implemented using nearest neighbor matching algorithm based on the proposed direction strings and their distances.The classifier can be used in the platform of Win32,iOS (iPad) and Android (smart phone).Experimental results have shown that the developed classifier could obtain good recognition accuracy.
handwritten character recognition direction string distance nearest neighbor matching
LI Lei ZHANG Li-liang SU Jing-fei
School of Computer Science and Technology,Beijing University of Posts and Telecommunication,Beijing 100876,China
国内会议
黄山
英文
160-165,196
2012-10-25（万方平台首次上网日期，不代表论文的发表时间）