Lour-Quality Printed Character Recognition Considering of image Blurredness

찌그러짐을 고려한 저품질 인쇄체 문자인식

Character recognition has already been studied in a lot of fields. But, if input-characters have noise in practical application system, the ability decreases markedly. Special consideration should be taken into account in the recognition of blurred data. This paper proposes low-quality printed character recognition methods that extracts blurred parts of the character image, deletes them and carry out accurate character recognition.