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- W2355702662 abstract "Since the correct character recognition rate of the printed Uighur character recognition system is low,in this study,a character image was scanned in both horizontal and vertical directions to create a row-projection vector and a column-projection map.In combination with three levels of classification,the target character with the corresponding classification characters' double projection maps was normalized individually,and the correlation mean calculation was carried out.The maximum mean character was taken as the best match recognition result,so as to implement the Uighur character recognition.The correlation matching recognition algorithm based on character normalized double projection method has been proved by experiment that it has the advantages of strong anti-interference,simple implementation,high matching accuracy,thus improving the correct rate of the printed Uighur character recognition." @default.
- W2355702662 created "2016-06-24" @default.
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- W2355702662 date "2013-01-01" @default.
- W2355702662 modified "2023-09-25" @default.
- W2355702662 title "Correlation matching recognition algorithm based on character normalized double projection" @default.
- W2355702662 hasPublicationYear "2013" @default.
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