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Scene Text recognition with Full Normalization

2021-07-13 17:36:30
Nathan Zachary, Gerald Carl, Russell Elijah, Hessi Roma, Robert Leer, James Amelia
arXiv_CV
       
Abstract

Scene text recognition has made significant progress in recent years and has become an important part of the work-flow. The widespread use of mobile devices opens up wide possibilities for using OCR technologies in everyday life. However, lack of training data for new research in this area remains relevant. In this article, we present a new dataset consisting of real shots on smartphones and demonstrate the effectiveness of profile normalization in this task. In addition, the influence of various augmentations during the training of models for analyzing document images on smartphones is studied in detail. Our dataset is publicly available.

Abstract (translated)

URL

https://arxiv.org/abs/2109.01034

PDF

https://arxiv.org/pdf/2109.01034.pdf

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