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- W2387727845 abstract "Traditional OCR methods are based on character segmentation,these methods are not suitable for CAPTCHA that has merged character.The paper puts out a non segmentation recognition method based on weighted template matching and supervised Hebb rule.This method employs gray level and weighted template,searches interesting point on the CAPTCHA image directly,filters out second-best interesting point by matching rate and Euclidean distance between each interesting point.Further more,a threshold optimization method for image thresholding and a weight adjusting method based on Hebb rule are included in the method.The result of the analysis and experiment proves that this method is more effective and feasible for CATPCHA recognition than simple template matching method." @default.
- W2387727845 created "2016-06-24" @default.
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- W2387727845 date "2010-01-01" @default.
- W2387727845 modified "2023-09-26" @default.
- W2387727845 title "Recognition of CAPTCHA Based on Weighted Template Matching and Supervised Learning" @default.
- W2387727845 hasPublicationYear "2010" @default.
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