Handwritten Character Recognition Adaptable to the Writer

I n this paper, we describe the handwritten character recognition adaptable to the writer. I t is efficient when the specific writer uses the same OCR for many characters. At the early stage, input characters are recognized using genera 1 dictionary, and then the correctly recognized character modify the dictionary to be adaptable to the variation of the characters of the specific writer. Using the adaptable dictionary modif ied by 10 characters/category, the classification rate is improved from 96.8% ( general dictionary ) to 99.5%.