DocumentCode
2613710
Title
Translation and scale invariant recognition of handwritten Tamil characters using a hierarchical neural network
Author
Paulpandian, T. ; Ganapathy, V.
Author_Institution
Sch. of Comput. Sci. & Eng., Anna Univ., Madras, India
fYear
1993
fDate
3-6 May 1993
Firstpage
2439
Abstract
A hierarchical neural network which can recognize handwritten Tamil characters independently of their position and size is described. A character is input as a pattern of (x,y) coordinates, subjected to very simple preprocessing. The network is trained by using the backpropagation learning algorithm. The performance of the hierarchical neural network is compared with and found superior to the performance of two other classifiers, namely, a single neural network approach and the method of moments in conjunction with a feedforward network
Keywords
backpropagation; character recognition; feedforward neural nets; handwriting recognition; method of moments; backpropagation learning algorithm; feedforward network; handwritten Tamil characters; hierarchical neural network; method of moments; preprocessing; Backpropagation; Character recognition; Computer science; Data preprocessing; Educational institutions; Feature extraction; Handwriting recognition; Moment methods; Neural networks; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location
Chicago, IL
Print_ISBN
0-7803-1281-3
Type
conf
DOI
10.1109/ISCAS.1993.394257
Filename
394257
Link To Document