Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Recognization for Dravidian Languages


Affiliations
1 Narayanadri Institute of Technology & Science, Rajampet, Kadapa (D), India
2 JNTUH, RangaReddy (D), India
3 J.B.I.E.T, Hyderabad, India
     

   Subscribe/Renew Journal


System for recognition of online handwritten characters has been presented for Indian writing systems. A handwritten character is represented as a sequence of strokes whose features are extracted and classi_ed. Support vector machines have been used for constructing the stroke recognition engine. The results have been presented after testing the system on Devanagari and Telugu scripts. A system for online recognition of handwritten Tamil characters is presented. A handwritten character is constructed by executing a sequence of strokes. A structure- or shape-based representation of a stroke is used in which a stroke is represented as a string of shape features. Using this string representation, an unknown stroke is identified by comparing it with a database of strokes using a flexible string matching procedure. A full character is recognized by identifying all the component strokes. Character termination, is determined using a finite state automaton. Development of similar systems for other Indian scripts is outlined.

Keywords

Shape Features, Stroke Identification, FSA.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 163

PDF Views: 4




  • Recognization for Dravidian Languages

Abstract Views: 163  |  PDF Views: 4

Authors

Karimella Vikram
Narayanadri Institute of Technology & Science, Rajampet, Kadapa (D), India
K. Venkatesh Reddy
Narayanadri Institute of Technology & Science, Rajampet, Kadapa (D), India
A. Goverdhan
JNTUH, RangaReddy (D), India
Niraj Upadyaya
J.B.I.E.T, Hyderabad, India

Abstract


System for recognition of online handwritten characters has been presented for Indian writing systems. A handwritten character is represented as a sequence of strokes whose features are extracted and classi_ed. Support vector machines have been used for constructing the stroke recognition engine. The results have been presented after testing the system on Devanagari and Telugu scripts. A system for online recognition of handwritten Tamil characters is presented. A handwritten character is constructed by executing a sequence of strokes. A structure- or shape-based representation of a stroke is used in which a stroke is represented as a string of shape features. Using this string representation, an unknown stroke is identified by comparing it with a database of strokes using a flexible string matching procedure. A full character is recognized by identifying all the component strokes. Character termination, is determined using a finite state automaton. Development of similar systems for other Indian scripts is outlined.

Keywords


Shape Features, Stroke Identification, FSA.