11 Result(s)
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Chapter and Conference Paper
Segmented-Based and Segmented-Free Approach for COVID-19 Detection
According to WHO, lung infection is one of the most serious problems across the world, especially for children under five years old and older people over sixteen years old. In this study, we designed a deep le...
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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
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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Chapter and Conference Paper
Deep Features for COVID-19 Detection: Performance Evaluation on Multiple Classifiers
Humanity has faced the greatest difficulties in recent years in COVID-19. These diseases are caused by significant alveolar damage and progressive respiratory failure. To address this issue, healthcare facilit...
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Chapter
A Deep Learning-Based Approach to Single/Mixed Script-Type Identification
Script identification acts as the precursor in recognizing the scene text by optical character recognition (OCR). But this is not the fundamental issue to the OCR engine. Before script identification, script-t...
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Chapter and Conference Paper
Text/Non-text Scene Image Classification Using Deep Ensemble Network
the interpretation of images, contextual comprehension serves a key task in a natural scene. The text present in scene images often bestows qualitative details which can be analyzed in many aspects of...
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Chapter and Conference Paper
Ensemble Stack Architecture for Lungs Segmentation from X-ray Images
In healthcare, chest X-rays are an inexpensive medical imaging diagnostic tools. The lung images segmentation from chest X-rays (CXRs) is important for screening and diagnosing diseases. The lungs are opacifie...
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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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Chapter and Conference Paper
Script Identification of Movie Titles from Posters
In this work, a new problem of script identification in movie posters has been addressed. Movie posters contain an amalgamation of different types of objects like images of actors, sceneries, different graphic...
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Chapter and Conference Paper
Automatic Text Localization in Scene Images: A Transfer Learning Based Approach
In this paper, a novel procedure of text localization has been discussed using deep neural network which is based on transfer learning. The set of images are fed to deep neural network framework using pre-trai...
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Chapter and Conference Paper
Artistic Multi-character Script Identification Using Iterative Isotropic Dilation Algorithm
In this work, a new problem of script identification named artistic...
