A Survey on Text Information Extraction from Born-Digital and Scene Text Images
Text information extraction (TIE) from images is an open research area because of its unsolved challenges with respect to the heterogeneity in image types, mode of image capture, position of text and the clarity of text information. Currently, the number of images captured using mobile phones is voluminous. The information from such images is capable of providing valuable input to the user as well to applications that depend on the image text information. Text is the pipeline of human communication and images containing text can aid the semantic understanding of the image. Types of image text are explored along with an introduction to TIE and its applications. Text detection is emphasized and an attempt to categorize the features used by text detection is made. With a brief discussion on the onset research works, the available datasets and performance metrics are listed out. A broad summary regarding the types of text detection methods and systems under them is presented. The paper concludes with existing challenges that pave the way for more active research.
Publisher URL: https://link.springer.com/article/10.1007/s40010-017-0478-y
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