Devnagari Vowels Recognition By Recursive Subdivision Of Sampled Image

Handwritten Optical Character Recognition (HOCR) is one of the research fields where the lots of the researchers are working very hard to solve the problems. A little effort is made here in respect to solve the problem in recognition of Handwritten Devnagari Characters, which is very challenging task because of the different writers have their own style to write and there is a lot of variation is occurred in their writing. In order to obtain higher recognition rate, a large database of all possible or maximum variations have been taken from a large group of writers. Because by including these variations we can make our recognition more general to test samples of writers from different background and recognition rate will be observed efficient and it will be acceptable in large domain of users.

Autorentext

Er. Ravi Krishan Pandey is currently working as a Head Of Department of CSE and IT Department in Laxmi Institute of Technology, Laxmi Vidyapeeth Sarigam,Valsad, Gujarat(India). He has more than five year of experience in teaching and training practising professionals as well as students in the field of Web Tech., Java,C,OS,Compilers,TOC etc.