This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Handwriting Segmentation of Unconstrained Oriya Text
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
N. Tripathy, Indian Statistical Institute
U. Pal, Indian Statistical Institute
Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten recognition system. For the segmentation of unconstrained Oriya handwritten text into individual characters, a water-reservoir-concept based scheme is proposed in this paper. Here, at first, the text image is segmented into lines, and then lines are segmented into individual words, and words are segmented into individual characters. For line segmentation the document is divided into vertical stripes. Analyzing the heights of the water reservoirs obtained from different components of the document, the width of a stripe is calculated. Stripe-wise horizontal histograms are then computed and the relationship of the peak-valley points of the histograms is used for line segment. Based on vertical projection profile and structural features of Oriya characters, text lines are segmented into words. For character segmentation, at first, isolated and connected (touching) characters in a word are detected. Using structural, topological and water-reservoir-concept based features touching characters of the word are then segmented.
Citation:
N. Tripathy, U. Pal, "Handwriting Segmentation of Unconstrained Oriya Text," iwfhr, pp.306-311, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
Usage of this product signifies your acceptance of the Terms of Use.