Share Email Print
cover

Proceedings Paper

A novel license plate recognition method based on least squares support vector machine
Author(s): Lin Gui
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Support vector machine (SVM) is a new type of machine learning method based on statistical learning. It avoids the neural network of some inherent disadvantages, such as the local minimum in the training process, structure, selection, slow convergence speed problem, have very strong nonlinear system identification and generalization ability and small sample. In this paper, we established multi-classifier based on binary tree model. Category rules are based on experience. But this method cans classifier to come to less than optimal results. Our future work focused on how to find a category to get the optimal rules of multi-classifier method, experience risk analysis, cluster analysis will consider further.

Paper Details

Date Published: 13 January 2012
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 83501L (13 January 2012); doi: 10.1117/12.920246
Show Author Affiliations
Lin Gui, Wuhan Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

© SPIE. Terms of Use
Back to Top