DocumentCode :
2563686
Title :
Character recognition of the Batak Toba alphabet using signatures and simplified chain code
Author :
Panggabean, Mauritz ; Rønningen, Leif Arne
Author_Institution :
Dept. of Telematics, Norwegian Univ. of Sci. & Technol. (NTNU), Trondheim, Norway
fYear :
2009
fDate :
18-19 Nov. 2009
Firstpage :
215
Lastpage :
220
Abstract :
This paper presents the simplified chain code (SCC) from our concept of basic shape to recognize the characters of Batak Toba alphabet. The proposed chain code is based on the eight-direction Freeman chain code from which the horizontal and vertical directions are omitted. Hence we focus on shapes with dominant diagonal contours which characterize the recognized alphabet. Our implementation shows that recognizing the alphabet using the scale-invariant SCC can achieve more than 90% accuracy and is more than 10 times faster than that using signatures. To the best of our knowledge, this is the first reported attempt of recognizing the Batak Toba alphabet.
Keywords :
character recognition; natural language processing; Batak Toba alphabet; character recognition; dominant diagonal contour; eight-direction Freeman chain code; signatures; simplified chain code; Character recognition; Eyes; Humans; Image processing; Image recognition; Natural languages; Paper technology; Shape; Signal processing; Telematics; Basic Shape; Character Recognition; Simplified Chain Code;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5560-7
Type :
conf
DOI :
10.1109/ICSIPA.2009.5478614
Filename :
5478614
Link To Document :
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