{"title":"光电混合模式识别系统自动识别技术研究","authors":"Yi Xu, Z. Liu, Jun Wen","doi":"10.1109/ICCCAS.2010.5582038","DOIUrl":null,"url":null,"abstract":"Opto-electronic hybrid optical pattern recognition technology has many advantages, but must to recognize the correlation-peak from lots of noise. This paper analyzes the deference of correlation-peak image and the noise, and researches on the contour distribution of the image of the correlation-peak and the noise. So, bring forward using the BP network of the ANN to distinguish the signal and noise automatically. The experiment results show the effectiveness of the method.","PeriodicalId":199950,"journal":{"name":"2010 International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic identification technology research on Opto-electronic hybrid pattern recognition system\",\"authors\":\"Yi Xu, Z. Liu, Jun Wen\",\"doi\":\"10.1109/ICCCAS.2010.5582038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Opto-electronic hybrid optical pattern recognition technology has many advantages, but must to recognize the correlation-peak from lots of noise. This paper analyzes the deference of correlation-peak image and the noise, and researches on the contour distribution of the image of the correlation-peak and the noise. So, bring forward using the BP network of the ANN to distinguish the signal and noise automatically. The experiment results show the effectiveness of the method.\",\"PeriodicalId\":199950,\"journal\":{\"name\":\"2010 International Conference on Communications, Circuits and Systems (ICCCAS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Communications, Circuits and Systems (ICCCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCAS.2010.5582038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Communications, Circuits and Systems (ICCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2010.5582038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic identification technology research on Opto-electronic hybrid pattern recognition system
Opto-electronic hybrid optical pattern recognition technology has many advantages, but must to recognize the correlation-peak from lots of noise. This paper analyzes the deference of correlation-peak image and the noise, and researches on the contour distribution of the image of the correlation-peak and the noise. So, bring forward using the BP network of the ANN to distinguish the signal and noise automatically. The experiment results show the effectiveness of the method.
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