Automatic Separation of Machine-Printed and Hand-Written Text Lines

Authors:
U. Pal;B. B. Chaudhuri
Affiliations:
-;-
Venue:
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Year:
1999

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Distinction between handwritten and machine-printed text based on the bag of visual words model

Pattern Recognition

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Abstract

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, it is necessary to separate these two types of text before feeding them to the respective OCR systems. In this paper, we present such a scheme for both Bangla and Devnagari. 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 about 98.3%.