节点文献
神经网络对手写字符识别特征的提取
THE Feature Extraction in Word-Symbol Distingguish with a Neural Networks
【摘要】 神经网络对手写字符有较强的识别能力 ,关键在于特征的提取。本文提出按字符字段和非均匀网络结构浓度提取手写文字特征的改进方法。
【Abstract】 Conpared with the adaptability of neural networks on dealing with handwriting recognition ,we showed the shortcomings of the traditional recognizing method,and presented two effective approaches,which extract word’s features by character and by the chroma of heterogeneous networks structure.
- 【文献出处】 长春光学精密机械学院学报 ,JOURNAL OF CHANGCHUN INSTITUTE OF OPTICS AND FINE MECHANICS , 编辑部邮箱 ,2000年02期
- 【分类号】TP391.4
- 【被引频次】12
- 【下载频次】191