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  • 标题:A Hybrid Approach for Detection and Recognition of Traffic Text Sign MSER and OCR
  • 本地全文:下载
  • 作者:Govil Jhod ; Prof. Prabhat Sharma
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:7
  • 页码:13071
  • DOI:10.15680/IJIRCCE.2017.0507025
  • 出版社:S&S Publications
  • 摘要:Detection and Recognition in traffic sign pictures or common pictures has applications in Computervision frameworks like enlistment number plate identification, programmed movement sign location, picture recoveryand help for outwardly disabled individuals. In this paper a hybrid approach based on MSER and OCR, utilizing clamorexpulsion strategy, i.e. Lucy-Richardson calculation. After clamor evacuation, content district location stage beginswith complexity upgraded edge improved MSER area discovery system is utilized there after morphological division isutilized to section content locale in the picture. After location stage acknowledgment stage begins in which contentapplicants are separated utilizing geometric filtration utilizing properties, for example, viewpoint proportion,unusualness, solidicity, and so forth. At that point Bounding box strategy is utilized to distinguish letter competitorsand shape word out of them. At long last, Optical Character Recognition (OCR) instrument is utilized to concentratemessage out of picture. The framework displayed beats best in class techniques on the dataset of the movement contentsign information that were gotten from Jaguar Land Rover Research.
  • 关键词:MSER; OCR; Recognition; Traffic Sign
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