DocumentCode
1856555
Title
Handwriting recognition using supervised neural networks
Author
Murthy, B.V.S.
Author_Institution
Dept. of Civil Eng., Indian Inst. of Technol., Madras, India
Volume
4
fYear
1999
fDate
1999
Firstpage
2899
Abstract
We proposed a method for person authentication based on his/her handwriting. We used multilayer feedforward neural network with backpropagation learning for the task. The method is based on the observation that there exists a relationship between the heights and widths of the alphabets written by an individual which is unique and specific to him/her. For classification 100% accuracy in person authentication was achieved using a database consisting of 10 people
Keywords
backpropagation; feedforward neural nets; handwriting recognition; pattern classification; backpropagation; handwriting recognition; learning; multilayer feedforward neural network; pattern classification; person authentication; Authentication; Backpropagation; Civil engineering; Feature extraction; Feedforward neural networks; Handwriting recognition; Marine vehicles; Multi-layer neural network; Neural networks; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.833545
Filename
833545
Link To Document