Robotics & Machine Learning Daily News2024,Issue(Nov.25) :8-8.

Reports from West Pomeranian University of Technology Advance Knowledge in Optic al Character Recognition (Application of BinaryImage Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results)

西波美拉尼亚理工大学报道光学字符识别知识的进步(二进制应用)预测光学字符识别结果质量的图像质量评价方法

Robotics & Machine Learning Daily News2024,Issue(Nov.25) :8-8.

Reports from West Pomeranian University of Technology Advance Knowledge in Optic al Character Recognition (Application of BinaryImage Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results)

西波美拉尼亚理工大学报道光学字符识别知识的进步(二进制应用)预测光学字符识别结果质量的图像质量评价方法

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布了关于光学字符识别的新报告。根据来自波兰Szczecin的新闻,由NewsRx编辑撰写,该研究指出:“持续的一个移动设备和嵌入式系统日益普及带来的挑战存储器和计算能力是相对快速的实时图像处理方法的发展视频分析》。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on op tical character recognition. According tonews originating from Szczecin, Poland , by NewsRx editors, the research stated, “One of the continuouschallenges rela ted to the growing popularity of mobile devices and embedded systems with limite dmemory and computational power is the development of relatively fast methods f or real-time image andvideo analysis.”

Key words

West Pomeranian University of Technology/Szczecin/Poland/Europe/Emerging Technologies/Machine Learning/Optical Cha racter Recognition

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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