DocumentCode
2673829
Title
Feature extraction technique for Hindi numerals
Author
Sanossian, Hermineh
Author_Institution
Mutah Univ., Karak, Jordan
fYear
1998
fDate
31 Aug-2 Sep 1998
Firstpage
524
Lastpage
530
Abstract
In this paper a feature extraction technique is presented and applied to printed Hindi numerals. Fourteen different fonts with different sizes are used for training and testing. The method uses local information to extract the features. Classification is performed using neural networks. To reduce the percentage of the error rate a number of networks is trained and a voting system is used to obtain the final result
Keywords
character recognition; feature extraction; learning (artificial intelligence); neural nets; pattern classification; Hindi numeral recognition; feature extraction; inverse gradient method; learning; neural networks; pattern classification; voting; Data mining; Error analysis; Feature extraction; Image segmentation; Neural networks; Page description languages; Pattern recognition; Real time systems; Testing; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing VIII, 1998. Proceedings of the 1998 IEEE Signal Processing Society Workshop
Conference_Location
Cambridge
ISSN
1089-3555
Print_ISBN
0-7803-5060-X
Type
conf
DOI
10.1109/NNSP.1998.710683
Filename
710683
Link To Document