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Journal of Shanghai University（Natural Science Edition）

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Pressed Protuberant Character Recognition Based on Least Squares Support Vector Machines

LI Guo-ping1,2, LU Chang-hou1, LI Jian-mei1   

  1. 1. School of Mechanical Engineering, Shandong University, Jinan 250061, China; 2. School of Mechanical Engineering, University of Jinan, Jinan 250022, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-04-30 Published:2007-04-30
  • Contact: LU Chang-hou

Abstract: This paper presents an application of least squares support vector machines in small-set pressed protuberant character recognition. The theory and algorithms of least squares support vector machines are introduced. Least squares support vector machines are used to train the software in the experiment for simulation of labels' pressed protuberant characters, and compare with the results of neural network classification, et al. Experiment results show that the least squares support vector machines method has high recognition rate and is practical.

Key words: character recognition, pressed protuberant characters, least squares support vector machines

CLC Number: