智能像卡输入的手绘电气符号识别研究

Study of Recognition for Hand-drawn Electronic Component Symbol Based on Input with Smart Image Card

电气符号的自动输入与识别是手绘电路图的数字化表示最为关键的技术之一,针对脱机手绘电气符号输入与识别,提出了一种特定输入方式下的手绘电气符号识别新方法,首次采用智能像卡作为手绘电路图图形输入设备;提出了一种称为扩展网格比较特征提取法来提取手绘电气元件符号的特征;构造三层BP神经网络作为识别器,实现了手绘电气符号的脱机识别,通过对典型电气符号的识别实验表明:智能像卡是一种可行的图形输入工具,所提方法对手绘电气符号识别具有较高的识别效果。

Automatic input and recognition of electronic component symbol is one of the key technologies for digital express of electronic circuit diagrams, A new recognition approach for hand drawn electronic component symbols inputted in special way is proposed. It is the first time that Smart image card is used as a tool to input electronic circuit diagrams, A new comparative feature extraction approach based on expandable meshing is proposed. Meanwhile a pattern classifier is designed based on BP artificial neural network, By the experiment to identify the typical electronic component symbols, the result shows that Smart Image Card is a kind of applicable tool to input image, and the. proposed approach is both effective and efficient.