Text line extraction from multi-skewed handwritten documents

Authors:
S. Basu;C. Chaudhuri;M. Kundu;M. Nasipuri;D. K. Basu
Affiliations:
Computer Science and Engineering Department, Jadavpur University, Kolkata 700032, India;Computer Science and Engineering Department, Jadavpur University, Kolkata 700032, India;Computer Science and Engineering Department, Jadavpur University, Kolkata 700032, India;Computer Science and Engineering Department, Jadavpur University, Kolkata 700032, India;Computer Science and Engineering Department, Jadavpur University, Kolkata 700032, India
Venue:
Pattern Recognition
Year:
2007

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Abstract

A novel text line extraction technique is presented for multi-skewed document images of handwritten English or Bengali text. It assumes that hypothetical water flows, from both left and right sides of the image frame, face obstruction from characters of text lines. The stripes of areas left unwetted on the image frame are finally labelled for extraction of text lines. The success rate of the technique, as observed experimentally, are 90.34% and 91.44% for handwritten Bengali and English document images, respectively. The work may contribute significantly for the development of applications related to optical character recognition of Bengali/English text.