Machine-printed and hand-written text lines identification

摘要

There are many types of documents where machine-printed and hand-written texts intermixedly appear. Since the optical character recognition (OCR) methodologies for machine-printed and hand-written texts are different, to achieve optimal performance it is necessary to separate these two types of texts before feeding them to their respective OCR systems. In this paper, we present a machine-printed and hand-written text classification scheme for Bangla and Devnagari, the two most popular Indian scripts. The scheme is based on the structural and statistical features of the machine-printed and hand-written text lines. The classification scheme has an accuracy of 98.6/100.