-
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...
-
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...
-
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...
-
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...
-
Chapter and Conference Paper
Plant Disease Detection and Classification Using a Deep Learning-Based Framework
Plant diseases pose a significant threat to agriculture, causing substantial yield losses and economic damages worldwide. Traditional methods for detecting plant diseases are often time-consuming and require e...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
Chapter and Conference Paper
Automatic Signature-Based Writer Identification in Mixed-Script Scenarios
Automated approach for human identification based on biometric traits has become popular research topic among the scientists since last few decades. Among the several biometric modalities, handwritten signatur...
-
Article
Open AccessPreclinical Development of a Fusion Peptide Conjugate as an HIV Vaccine Immunogen
The vaccine elicitation of broadly neutralizing antibodies against HIV-1 is a long-sought goal. We previously reported the amino-terminal eight residues of the HIV-1-fusion peptide (FP8) – when conjugated to t...
-
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...
-
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...
-
Chapter and Conference Paper
Human Identification by Gait Using Fourier Descriptor and Angle-Based Pseudo Anatomical Landmark Model
Feature extraction from Spatio-temporal movement characteristic for human gait recognition with respect to the surveillance camera has been a prime concern in this paper, and a very simple technique has been d...
