Title :
Recognition of On-Line Hand-Drawn Graphical Symbols Based on BP Neural Network
Author :
Li, Shuiwang ; Ding, Liguo ; Wei Xiong
Author_Institution :
Surveying & Mapping Inst., Inf. Eng. Univ., Zhengzhou, China
Abstract :
The on-line recognition of hand-drawn graphical symbol is an intelligent graphics recognition, it can help people mark the symbols on the electronic map quickly and efficiently. In this paper, on the basis of the study of on-line identification method of hand-drawn graphical symbols, we have established a neural network model of on-line hand-drawn graphical symbols identifying and have developed a hand-drawn graphical symbols on-line authentication system with a good result of on-line hand-drawn graphical symbol recognition.
Keywords :
backpropagation; cartography; computer graphics; handwritten character recognition; image recognition; neural nets; electronic map; intelligent graphics recognition; neural networkBP neural network; online hand-drawn graphical symbol recognition; online identification method; Biological neural networks; Feature extraction; Geographic Information Systems; Graphics; Neurons; Object recognition; Training;
Conference_Titel :
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0855-8
DOI :
10.1109/PACCS.2011.5990092
