【摘要】 特征提取是手写体数字识别研究中的重要问题。有效特征是提高识别率和识别精度的关键。作者使用的主元分析法能压缩特征的维数 ,满足特征提取的完备性原则和正交性原则 ,提高分类器性能。将经过主元分析法压缩后的特征用BP神经网络进行识别仿真 ,取得了较好的实验效果更多还原

【Abstract】 Feature extraction is a principal problem for handwritten numerals recognition. A new method using K-L transform to extract effective features is proposed, which can compress feature dimension, fulfill the principle of integrity and irrelevance, and improve performance of classifier. Experiments with a BP neural network show the proposed approach is promising.更多还原