Text Detection and Classification from Low Quality Natural Images
نویسندگان
چکیده
منابع مشابه
Text detection and recognition in natural images
Natural scenes pose a major challenge to traditional optical character recognition methods because they often contain noise, occlusions, distortions, or relatively small amounts of highly styled text. In this work, we build a probabilistic system which unifies the tasks of text detection and recognition with a language model. We use an efficient multi-scale character detector to locate characte...
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Categorization of text images into content oriented classes would be a useful capability in a variety of document handling systems Many methods can be used to cat egorize texts once their words are known but OCR can garble a large proportion of words particularly when low quality images are used Despite this we show for one data set that fax quality images can be cat egorized with nearly the sa...
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Text detection and recognition in natural images have conventionally been seen in the prior art as autonomous tasks executed in a strictly sequential processing chain with limited information sharing between sub-systems. This approach is flawed because it introduces (1) redundancy in extracting the same text properties multiple times and (2) error by prohibiting verification of hard (often bina...
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ژورنال
عنوان ژورنال: Intelligent Automation & Soft Computing
سال: 2020
ISSN: 1079-8587
DOI: 10.32604/iasc.2020.012775