Machine-printed and hand-written text lines identification
نویسندگان
چکیده
There are many types of documents where machine-printed and handwritten texts intermixedly appear. Since the optical character recognition (OCR) methodologies for machine-printed and handwritten texts are dierent, 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 handwritten text classi®cation 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 handwritten text lines. The classi®cation scheme has an accuracy of 98.6%.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 22 شماره
صفحات -
تاریخ انتشار 2001