An algorithm based on ODLLTSA and SVM classier for door plate number recognition

作者：Ma Liling^*; Ji Li J; Wang Junzheng

来源：Journal of Central South University(Science and Technology), 2011, 42(SUPPL. 1): 789-793.

• Door plate number recognition
• Feature extraction
• ODLLTSA algorithm
• Support vector machine

A new method is proposed, through combining the algorithm of orthogonal discriminant linear local tangent space alignment (ODLLTSA) and the support vector machine (SVM), to improve the accuracy of recognizing door plate numbers. The feature of door plate characters is first extracted by the ODLLTSA and then this extracted feature is used to train the SVM classifier. Finally, the new plate characters are classified by the trained SVM. Using the algorithm, a high recognition rate can be achieved. Experimental results show that this method is effective and robust in the real applications.

• 出版日期2011
• 单位北京理工大学