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深度转移学习骨干架构技术的比较,用于从非结构化文档中检测不同字体风格的印刷文本

Supriya Mahadevkar1, Shruti Patil2, Ketan Kotecha2

  • 1Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India.

PeerJ. Computer science
|April 30, 2024
PubMed
概括

这项研究比较了用于打印文本识别的深度学习骨干架构. 在光学字符识别任务中,Xception模型获得了最高的准确性 (98.90%),优于其他模型.

关键词:
骨干架构的背骨架构.发育开始 发育开始这是OCR (对象字符识别).对象检测检测对象检测对象检测对象识别功能 识别对象打印文本识别系统 打印文本识别系统在ResNet50V2中使用.转移学习转移学习在VGG19中,VGG19是VGG19的代表.Xception 接收 接收 接收

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