A Comparative Study on the Perception Performance of Handwriting in Korean and English Using Machine Learning

Currently, letters are used mainly for computers and mobile devices, but in some areas, hand-written documents are used. In addition, records written manually before computers and mobile devices are not digitized and stored in the archives. In this paper, we tried to explore the factors necessary for the development of the technology for the recognition of Hangeul by comparing the performance of handwriting recognition between Hangeul and English through the prior study of the Optical Character Recognition (OCR) technology for handwriting recognition and the prior study on the recognition of Korean handwriting.