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Article
MOPO-HBT: A movie poster dataset for title extraction and recognition
Real-world images often encompass embedded texts that adhere to disparate disciplines like business, education, and amusement, to name a few. Such images are graphically rich in terms of font attributes, color...
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Article
Scene text understanding: recapitulating the past decade
Computational perception has indeed been dramatically modified and reformed from handcrafted feature-based techniques to the advent of deep learning. Scene text identification and recognition have inexorably b...
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Article
LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery
Automatic detection of lung diseases using AI-based tools became very much necessary to handle the huge number of cases occurring across the globe and support the doctors. This paper proposed a novel deep lear...
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Article
Understanding movie poster: transfer-deep learning approach for graphic-rich text recognition
Graphic-rich texts are common in posters. In a movie poster, information, such as movie title, tag lines, and names of the actors, director, and production house, is available. Graphic-rich texts in movie titl...
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Article
STDNet: A CNN-based approach to single-/mixed-script detection
Script identification serves as a guide to the detection of the text of the scene through optical character recognition (OCR). But this is not a principal concern for the OCR engine. Until script identificatio...
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Article
LWSINet: A deep learning-based approach towards video script identification
Videos – a high volume of texts – broadcast via different media, such as television and the internet. Since Optical Character Recognition (OCR) engines are script-dependent, script identification is a precurso...