Autors: Mladenov, V. M., Hegt, J., Tolboom, H.
Title: Feature Extraction Approach for Recognition of Handwritten Electrical Symbols
Keywords: handwritten symbol recognition, feature extraction, neural n

Abstract: 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.

References

    Issue

    Proceedings of the 5th International Multiconference on Circuits, Systems, Communications and Computers CSCC, pp. 256-260, 2001, Greece, WSES PRESS Series of Reference Books and Textbooks

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Google Scholar