Abstract
The scatter degree technique to be introduced in this paper is a local feature detection in pattern recognition. It provides a simple and efficient method to obtain a robust vector by measuring the relation of the valley points and the peak points. Combining this technique with neural networks, one can achieve good results in the recognition and classification of noisy or partially invisible patterns.
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Yu, P., Venetsanopoulos, A.N. Partial pattern recognition and classification using the scatter degree technique and neural networks. J Intell Robot Syst 5, 271–282 (1992). https://doi.org/10.1007/BF00247422
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DOI: https://doi.org/10.1007/BF00247422