A new algorithm for skew detection and correction

Authors:
Rajiv Kapoor;Deepak Bagai;T. S. Kamal
Affiliations:
Computer Engineering, Netaji Subhas Institute of Technology, Azad Hind Fauz marg. sec-3, Dwarka, New Delhi 110045, Chandigarh, India;Punjab Engineering College, Chandigarh, India;SLIET, Longowal, Punjab, India
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

Here we have proposed two algorithms. The first one detects the skewing of words and the second corrects the skewing from handwritten words. Both algorithms make use of the Radon transform based projection profile technique. The method does not require pre-processing and it works equally good even with noise. The method is fast. The algorithms have been tested on words taken from more than 200 writers and the results obtained confirm the overall accuracy of proposed system. No error was detected.