Title :
Segmentation of text lines into words for Gujarati handwritten text
Author :
Patel, Chhaya ; Desai, Apurva
Author_Institution :
M.C.A Dept., Anand Inst. of Inf. Sci., Anand, India
Abstract :
A presentation on attempt to extract words from handwritten text lines in Gujarati script is hereby submitted. The very cursive nature of most Indian scripts makes the word extraction process a very critical one for Optical Character Recognition (OCR) activity. This cursive nature also causes difficulty during character extraction and modifier extraction. Word extraction is considered as one of the important stage of OCR, which directly affects the accuracy level of OCR. A combination of some proven methods like projection profile with morphological operations is used to enhance accuracy of the word extraction.
Keywords :
handwritten character recognition; image segmentation; optical character recognition; text analysis; word processing; Gujarati handwritten text; Gujarati script; Indian scripts; handwritten text lines; morphological operation; optical character recognition; projection profile; text lines segmentation; words extraction; Accuracy; Character recognition; Image segmentation; Optical character recognition software; White spaces; Writing; Handwritten text line segmentation; Shirolekha; lower modifiers; upper modifiers; word extraction;
Conference_Titel :
Signal and Image Processing (ICSIP), 2010 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-8595-6
DOI :
10.1109/ICSIP.2010.5697455