Title :
Efficient system for Devnagari script segmentation
Author :
Raman, Nitin Kali ; Sahu, Neha
Author_Institution :
Electron. & commuication Dept., Aravali Coll. of Eng., Faridabad, India
Abstract :
Character segmentation plays an important role in Optical Character Recognition (OCR) for Indian Script. The image to be segmented consists of various characters and is broken down into different segmented images of individual characters. These segmented characters are then fed to the Recognition phase of OCR. This paper covers only the segmentation of Devnagari script, as it consists of vowels, consonants and various modifiers, recognition of this script becomes quite a difficult task if segmentation is not done properly. Overall accuracy for character and word are 87.73% and 86.4% is achieved respectively.
Keywords :
image segmentation; natural language processing; optical character recognition; Devnagari script segmentation; Indian script; OCR; character segmentation; consonants; image segmentation; optical character recognition; recognition phase; vowels; Accuracy; Character recognition; Image recognition; Image segmentation; Optical character recognition software; Optical imaging; Strips; Character Segmentation; Devnagari Script; Preprocessing; Recognition;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1