{"title":"基于深度学习算法的票证识别平台研究","authors":"Gaode Cheng","doi":"10.1117/12.3003840","DOIUrl":null,"url":null,"abstract":"With the advent of digital age, bill recognition has become a necessary work for many enterprises, institutions and individuals. This paper proposes a ticket recognition platform based on deep learning algorithm, which can automatically recognize various types of tickets and realize fast and accurate processing. The platform uses deep learning algorithms such as convolutional neural network, cyclic neural network and long and short time memory network and combines image processing technology and natural language processing technology to effectively solve the difficult problems in ticket recognition. The experimental results show that the platform has high performance in ticket recognition accuracy and speed and can meet the needs of practical applications.","PeriodicalId":210802,"journal":{"name":"International Conference on Image Processing and Intelligent Control","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on ticket recognition platform based on deep learning algorithm\",\"authors\":\"Gaode Cheng\",\"doi\":\"10.1117/12.3003840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advent of digital age, bill recognition has become a necessary work for many enterprises, institutions and individuals. This paper proposes a ticket recognition platform based on deep learning algorithm, which can automatically recognize various types of tickets and realize fast and accurate processing. The platform uses deep learning algorithms such as convolutional neural network, cyclic neural network and long and short time memory network and combines image processing technology and natural language processing technology to effectively solve the difficult problems in ticket recognition. The experimental results show that the platform has high performance in ticket recognition accuracy and speed and can meet the needs of practical applications.\",\"PeriodicalId\":210802,\"journal\":{\"name\":\"International Conference on Image Processing and Intelligent Control\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Image Processing and Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3003840\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Image Processing and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3003840","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on ticket recognition platform based on deep learning algorithm
With the advent of digital age, bill recognition has become a necessary work for many enterprises, institutions and individuals. This paper proposes a ticket recognition platform based on deep learning algorithm, which can automatically recognize various types of tickets and realize fast and accurate processing. The platform uses deep learning algorithms such as convolutional neural network, cyclic neural network and long and short time memory network and combines image processing technology and natural language processing technology to effectively solve the difficult problems in ticket recognition. The experimental results show that the platform has high performance in ticket recognition accuracy and speed and can meet the needs of practical applications.