Deep learning approaches to scene text detection: a comprehensive review
In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …
success of deep learning models. Applications of computer vision have emerged and got …
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 …
handcrafted feature-based techniques to the advent of deep learning. Scene text …
Utilization of relative context for text non-text region classification in offline documents using multi-scale dilated convolutional neural network
S Bhowmik - Multimedia Tools and Applications, 2024 - Springer
Identification of text and non-text regions in a document image is necessary before feeding it
to an Optical character recognition (OCR) engine for the generation of editable version. This …
to an Optical character recognition (OCR) engine for the generation of editable version. This …
Text classification using deep learning techniques: A bibliometric analysis and future research directions
Purpose Text classification is a widely accepted and adopted technique in organizations to
mine and analyze unstructured and semi-structured data. With advancement of …
mine and analyze unstructured and semi-structured data. With advancement of …
Application of texture-based features for text non-text classification in printed document images with novel feature selection algorithm
Text non-text separation is one of the most essential pre-processing steps for any optical
character recognition (OCR) system. As an OCR engine can only process texts, the non …
character recognition (OCR) system. As an OCR engine can only process texts, the non …
DSANet: dilated spatial attention network for the detection of text, non-text and touching components in unconstrained handwritten documents
S Bhowmik, S Risat, B Sarkar - Neural Computing and Applications, 2024 - Springer
Handwritten documents generated in our day-to-day office work, class room and other
sectors of society carry vital information. Automatic processing of these documents is a …
sectors of society carry vital information. Automatic processing of these documents is a …
Understanding contents of filled-in Bangla form images
R Bhattacharya, S Malakar, S Ghosh… - Multimedia Tools and …, 2021 - Springer
With a wide variety of forms being generated in different organizations daily, efficient and
quick retrieval of information from these forms becomes a pressing need. The data on these …
quick retrieval of information from these forms becomes a pressing need. The data on these …
Document region classification
S Bhowmik - Document Layout Analysis, 2023 - Springer
After region segmentation, it is necessary to identify the functional labels of the segmented
regions. This is because OCR engines can only consider text regions. Presence of non-text …
regions. This is because OCR engines can only consider text regions. Presence of non-text …
MuSIC: A Novel Multi-Scale Deep Neural Framework for Script Identification in the Wild
Script identification in digital images is crucial for automated text reading in multilingual
contexts. Develo** a robust script-identifier in complex environments is challenging due to …
contexts. Develo** a robust script-identifier in complex environments is challenging due to …
A novel multi-scale deep neural framework for script invariant text detection
Text detection in the wild is an active research problem in computer vision. Localizing text in
multi-script and arbitrary–oriented scene images in unconstrained environment is one of the …
multi-script and arbitrary–oriented scene images in unconstrained environment is one of the …