127 citations · 612 across the 35 of their papers we have counts for
6 papers · 2 filters
A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping
Hmrishav Bandyopadhyay, Tanmoy Dasgupta, Nibaran Das +1
Capturing images of documents is one of the easiest and most used methods of recording them. These images however, being captured with the help of handheld devices, often lead to u…
A Skip-connected Multi-column Network for Isolated Handwritten Bangla Character and Digit recognition
Animesh Singh, Ritesh Sarkhel, Nibaran Das +2
Finding local invariant patterns in handwrit-ten characters and/or digits for optical character recognition is a difficult task. Variations in writing styles from one person to ano…
Skin Diseases Detection using LBP and WLD- An Ensembling Approach
Arnab Banerjee, Nibaran Das, Mita Nasipuri
In all developing and developed countries in the world, skin diseases are becoming a very frequent health problem for the humans of all age groups. Skin problems affect mental heal…
Multistage Curvilinear Coordinate Transform Based Document Image Dewarping using a Novel Quality Estimator
Tanmoy Dasgupta, Nibaran Das, Mita Nasipuri
The present work demonstrates a fast and improved technique for dewarping nonlinearly warped document images. The images are first dewarped at the page-level by estimating optimum…
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images
Soumyajyoti Dey, Soham Das, Swarnendu Ghosh +3
One of the most challenging aspects of medical image analysis is the lack of a high quantity of annotated data. This makes it difficult for deep learning algorithms to perform well…
EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation
Somenath Kuiry, Nibaran Das, Alaka Das +1
In the literature, many fusion techniques are registered for the segmentation of images, but they primarily focus on observed output or belief score or probability score of the out…