%0 Journal Article %1 noauthororeditor %A Kapoor1, Shuchi %A and Vivek Verma2, %D 2014 %J International Journal of Information Technology, Modeling and Computing (IJITMC) %K . Fragmentation Joint Shirorekha algorithm bar middle point side %N 1 %P 01-11 %R 10.5121/ijitmc.2014.2102 %T FRAGMENTATION OF HANDWRITTEN TOUCHING CHARACTERS IN DEVANAGARI SCRIPT %U http://airccse.org/journal/ijitmc/papers/2114ijitmc02.pdf %V 2 %X Character Segmentation of handwritten words is a difficult task because of different writing styles and complex structural features. Segmentation of handwritten text in Devanagari script is an uphill task. The occurrence of header line, overlapped characters in middle zone & half characters make the segmentation process more difficultt. Sometimes, interline space and noise makes line fragmentation a difficult task. Sometimes, interline space and noise makes line fragmentation a difficult task. Without separating the touching characters, it will be difficult to identify the characters, hence fragmentation is necessary of the touching characters in a word. So, we devised a technique, according to that first step will be preprocessing of a word, than identify the joint points, form the bounding boxes around all vertical & horizontal lines and finally fragment the touching characters on the basis of their height and width.

@article{noauthororeditor, abstract = {Character Segmentation of handwritten words is a difficult task because of different writing styles and complex structural features. Segmentation of handwritten text in Devanagari script is an uphill task. The occurrence of header line, overlapped characters in middle zone & half characters make the segmentation process more difficultt. Sometimes, interline space and noise makes line fragmentation a difficult task. Sometimes, interline space and noise makes line fragmentation a difficult task. Without separating the touching characters, it will be difficult to identify the characters, hence fragmentation is necessary of the touching characters in a word. So, we devised a technique, according to that first step will be preprocessing of a word, than identify the joint points, form the bounding boxes around all vertical & horizontal lines and finally fragment the touching characters on the basis of their height and width.}, added-at = {2018-09-06T08:38:42.000+0200}, author = {Kapoor1, Shuchi and and Vivek Verma2}, biburl = {https://www.bibsonomy.org/bibtex/2c2bd3180dff951fd047f26f97b78008f/alexafedrica}, doi = {10.5121/ijitmc.2014.2102}, interhash = {f991a0c4e0ac4931c3362f6d3e7241af}, intrahash = {c2bd3180dff951fd047f26f97b78008f}, journal = {International Journal of Information Technology, Modeling and Computing (IJITMC)}, keywords = {. Fragmentation Joint Shirorekha algorithm bar middle point side}, month = {February}, number = 1, pages = {01-11}, timestamp = {2018-09-06T08:38:42.000+0200}, title = {FRAGMENTATION OF HANDWRITTEN TOUCHING CHARACTERS IN DEVANAGARI SCRIPT}, url = {http://airccse.org/journal/ijitmc/papers/2114ijitmc02.pdf}, volume = 2, year = 2014 }