{"title":"面向移动设备的OCR系统","authors":"Peng Yang, Junfeng Zhang, Jiangfeng Xu, Yumin Li","doi":"10.1145/3556677.3556685","DOIUrl":null,"url":null,"abstract":"The OCR system has been widely used in many fields, such as office automation, file management, online education, etc. However, due to its high requirements on computing resources, the system is mostly runing on desktop or server platforms. In recent years, the performance of mobile devices has been improving, and they have been increasingly used in people's life and work. In this paper, we design an OCR system for mobile devices, which can better apply the performance of mobile devices, improve the stability of mobile OCR tasks, and reduce its dependence on network state by using various strategies to slimming and enhance the model applied by server, the total size of the final model is only 20M.","PeriodicalId":350340,"journal":{"name":"Proceedings of the 2022 6th International Conference on Deep Learning Technologies","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An OCR System : Towards Mobile Device\",\"authors\":\"Peng Yang, Junfeng Zhang, Jiangfeng Xu, Yumin Li\",\"doi\":\"10.1145/3556677.3556685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The OCR system has been widely used in many fields, such as office automation, file management, online education, etc. However, due to its high requirements on computing resources, the system is mostly runing on desktop or server platforms. In recent years, the performance of mobile devices has been improving, and they have been increasingly used in people's life and work. In this paper, we design an OCR system for mobile devices, which can better apply the performance of mobile devices, improve the stability of mobile OCR tasks, and reduce its dependence on network state by using various strategies to slimming and enhance the model applied by server, the total size of the final model is only 20M.\",\"PeriodicalId\":350340,\"journal\":{\"name\":\"Proceedings of the 2022 6th International Conference on Deep Learning Technologies\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 6th International Conference on Deep Learning Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3556677.3556685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 6th International Conference on Deep Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3556677.3556685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The OCR system has been widely used in many fields, such as office automation, file management, online education, etc. However, due to its high requirements on computing resources, the system is mostly runing on desktop or server platforms. In recent years, the performance of mobile devices has been improving, and they have been increasingly used in people's life and work. In this paper, we design an OCR system for mobile devices, which can better apply the performance of mobile devices, improve the stability of mobile OCR tasks, and reduce its dependence on network state by using various strategies to slimming and enhance the model applied by server, the total size of the final model is only 20M.
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