A Text Detection and Recognition Method Based on PSENet and CRNN

Xin He, Yingying He, Xueying Wang, Shaowei Zhang, Xun Sun
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Abstract

Text detection refers to detecting, for a given image, the coordinates of the text regions within it, and text recognition refers to identifying specific characters from the detected text boxes and optimizing the recognition results. In this paper, a text detection and recognition method based on PSENet and CRNN is designed for book name recognition in conjunction with the application scenario of automatic book return in self-service libraries. The PSENet text detection algorithm is used to obtain the text box of the book cover, and the CRNN+CTC text recognition algorithm is used to perform text recognition on the name of the book cover, achieving a better recognition effect.
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基于PSENet和CRNN的文本检测与识别方法
文本检测是对给定图像的文本区域坐标进行检测,文本识别是对检测到的文本框中的特定字符进行识别,并对识别结果进行优化。本文结合自助图书馆自动还书的应用场景,设计了一种基于PSENet和CRNN的图书名称文本检测与识别方法。采用PSENet文本检测算法获取图书封面的文本框,采用CRNN+CTC文本识别算法对图书封面名称进行文本识别,取得了较好的识别效果。
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