Abstract—To make use of non editable scanned image of the document, one has to pass through the recognition process. The recognition process consists of sub processes like preprocessing, segmentation and then recognition. Segmentation process is the most significant process because if the segmentation is incorrect then we can not have the correct result, it is just like garbage in and garbage out. On the same time it is one of the complex processes too. It is more difficult if the document is handwritten because in that case only few points are there which can be used to make segmentation. In this paper, we tried to formulate a procedure which is used to segment the scanned document image into lines then into words and finally to characters. For that purpose we used the concept of flexible window, that is, the window whose size can be adjusted according to needs. One module is designed to find the window. Same module is used to get the different types of outputs (lines, words, and characters) with a little bit adjustment to parameters passing as well as to the procedure itself. The concept was applied to different documents and we got good reasonable results.
Index Terms—OCR, Segmentation, Handwritten, Flexible, Window.
Cite: Rajiv Kumar and Amardeep Singh, "Detection and segmentation of Handwritten Text in Gurmukhi Script using Flexible Windowing," International Journal of Computer Theory and Engineering vol. 2, no. 3, pp. 329-332, 2010.
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