2016
DOI: 10.1080/02564602.2016.1160805
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Review of Text Extraction Algorithms for Scene-text and Document Images

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Cited by 28 publications
(5 citation statements)
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References 63 publications
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“…Over the past decade, extracting text from images has been a widely studied subject, with major breakthroughs in what was considered state-of-the-art systems. Sahare et al [ 26 ] define text extraction or text segmentation as the process of separating text from images. Two key subtopics are explored with regard to text extraction systems: text extraction from documents and text extraction from natural images, the latter being considered a more prevalent topic, particularly with the proliferation of smartphones that enable people to quickly capture digital images.…”
Section: Related Workmentioning
confidence: 99%
“…Over the past decade, extracting text from images has been a widely studied subject, with major breakthroughs in what was considered state-of-the-art systems. Sahare et al [ 26 ] define text extraction or text segmentation as the process of separating text from images. Two key subtopics are explored with regard to text extraction systems: text extraction from documents and text extraction from natural images, the latter being considered a more prevalent topic, particularly with the proliferation of smartphones that enable people to quickly capture digital images.…”
Section: Related Workmentioning
confidence: 99%
“…Geometry and Stroke width data enabled to eliminate non text regions. Text regions were grouped to form as words [23]- [25].…”
Section: Introductionmentioning
confidence: 99%
“…The major problem in designing an efficient OCR framework for overlapped or touched characters is to eliminate the noise from the binary images and smooth them for the feature extraction and recognition. The training algorithm must be intelligent and adaptive enough to deal with the abrupt feature variations generated due to the overlapping [9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%