Title :
Handwriting recognition using supervised neural networks
Author_Institution :
Dept. of Civil Eng., Indian Inst. of Technol., Madras, India
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.833545
