Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:P1
Session:
Number:P1-60
Development of Paper Automation Recognition System Using Brain Modeling of Hippocampal Neural Network Algorithm
Hye-Youn Lim, Jang-Hui Kim, Dae-Seong Kang,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
In this paper, we present the paper automation recognition system using brain modeling of hippocampal neural network algorithm. The system reads image through scanner, analyzes the content of data, and transforms the letter region into the text form. To recognize the letter effectively, the features of letter image are extracted in the text region and then the text is learned at high speed using brain modeling of hippocampal neural network algorithm. In engineering, this algorithm is based of modeling hippocampus which combines new memories and then makes memory. Experimental results are reported to implement system with a high recognition rate.