Open Access Open Access  Restricted Access Subscription Access

Recognition of Ancient Tamil Handwritten Characters in Palm Manuscripts Using Genetic Algorithm


Affiliations
1 Department of C.S.E., Kongu Engineering College, Perundurai, Tamilnadu, India
 

The objective of this research is to develop computer software that can recognize the Ancient Tamil handwritten characters by using the genetic algorithm technique (RATHCPM). The system consists of 5 main modules, which are: 1) image acquisition module, 2) image preprocessing module, 3) feature extraction module, 4) character recognition module, and 5) display result module. Each module has the following details. First, the image acquisition module collects an unknown input character from a user. Second, the input image is transformed into a suitable image for the feature extraction module. Third, the system extracts character features from the image. There are 3 main features of Tamil characters which are stroke, loop and location of loop and stroke connection. Fourth, the extracted character information is kept in the form of bits string chromosome in a genetic algorithm. Finally, the system displays the best fitness chromosome for the recognition result.

Keywords

RATHCPM, Vowels and Consonant.
User
Notifications
Font Size

Abstract Views: 129

PDF Views: 0




  • Recognition of Ancient Tamil Handwritten Characters in Palm Manuscripts Using Genetic Algorithm

Abstract Views: 129  |  PDF Views: 0

Authors

E. K. Vellingiriraj
Department of C.S.E., Kongu Engineering College, Perundurai, Tamilnadu, India
P. Balasubramanie
Department of C.S.E., Kongu Engineering College, Perundurai, Tamilnadu, India

Abstract


The objective of this research is to develop computer software that can recognize the Ancient Tamil handwritten characters by using the genetic algorithm technique (RATHCPM). The system consists of 5 main modules, which are: 1) image acquisition module, 2) image preprocessing module, 3) feature extraction module, 4) character recognition module, and 5) display result module. Each module has the following details. First, the image acquisition module collects an unknown input character from a user. Second, the input image is transformed into a suitable image for the feature extraction module. Third, the system extracts character features from the image. There are 3 main features of Tamil characters which are stroke, loop and location of loop and stroke connection. Fourth, the extracted character information is kept in the form of bits string chromosome in a genetic algorithm. Finally, the system displays the best fitness chromosome for the recognition result.

Keywords


RATHCPM, Vowels and Consonant.