Automatic Generation of Handwritten Hangul Character Images and Its Application to the Evaluation of Hangul Character Recognition Systems

변형에 의한 필기체 한글의 생성과 이를 이용한 한글 문자인식 시스템의 정량적 평가

There is basic problem with the current evaluation method for character recognition systems. The current method evaluates the average recognition rate by applying the test data to the target system. The average recognition rate tells no more than and no less than the overall performance and it depends on the data. In this paper we propose a testing method which will analyze the target system and point out its strong points and weak points. This can be made possible through using the data which are generated cy distorting the standard character images according to a carefully controlled manner. This paper will describe how to automatically generate such distorted images. Also we will show the method is actually effective and useful by applying it to evaluating existing recognition algorithms.