Feature Extraction Approach for Recognition of Handwritten Electrical Symbols
نویسندگان
چکیده
In this paper we consider a feature extraction approach for recognition of handwritten electrical symbols. The symbols are represented as a sequence of points. We apply a feature extraction technique to extract the most important features and then feed them for recognition to a Neural Network. We utilize a Learning Vector Quantization (LVQ) network and show its capability to recognize the symbols. Key-Words: handwritten symbol recognition, feature extraction, neural networks, Learning Vector Quantization (LVQ)
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