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20102024
most citedHandwritten Isolated Bangla Compound Character Recognition: a new benchmark using a novel deep learning approach

127 citations · 612 across the 35 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 2 cited

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…

cs.CV2020

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…

cs.CV2020

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…

eess.IV2020★ 5 cited

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited

Shyamali Mitra, Nibaran Das, Soumyajyoti Dey +3

Cytology is the branch of pathology which deals with the microscopic examination of cells for diagnosis of carcinoma or inflammatory conditions. Automation in cytology started in t…

cs.CV2020★ 2 cited

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…

cs.CV2020

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…