Recognition of South Indian Language Numerals Using Minimum Distance Classifier

F. Jennifer Alin ； K.N. Saravanan

《Research Journal of Applied Sciences, Engineering and Technology》 14卷4期 (2017/04) Pp. 161-169

https://doi.org/10.19026/rjaset.14.4160

摘要

The recognition of handwritten and machine printed numerals have received extensive attention in pattern recognition. Indian handwritten character identification is slightly demanding because of the presence of character modifiers and also many documents consists of numerals which are both printed and handwritten. There are plenty of recognition systems developed for numeral recognition. Our aim is to develop a single framework or recognition system which could distinguish between numerals of various languages. Mixture of printed and handwritten character numerals in Indian context normally show up in documents such as application forms, postal mail, office letters and so forth. Generally, Humans can distinguish the difference in characters but to make a machine understand is challenging. Hence in order to make the machine understand numerals of different languages, this study has been carried out. The recognition rate of 87.96, 87.93, 86.93 and 89.16%, respectively has been achieved for Kannada, Telugu, Tamil and Malayalam numerals respectively.

關鍵字

Character modifiers ； handwritten character ； pattern recognition ； postal mail ； solitary document