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

127 citations · 1.1k across the 91 of their papers we have counts for

collaborators

98 papers

cs.CV2024

Fusion Based Hand Geometry Recognition Using Dempster-Shafer Theory

Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri

This paper presents a new technique for person recognition based on the fusion of hand geometric features of both the hands without any pose restrictions. All the features are extr…

cs.CV2024

Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images

Somenath Kuiry, Alaka Das, Mita Nasipuri +1

Deep Learning, particularly Convolutional Neural Networks (CNN), has been successful in computer vision tasks and medical image analysis. However, modern CNNs can be overconfident,…

eess.IV2024

COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss

Anay Panja, Somenath Kuiry, Alaka Das +2

Since 2019, the global COVID-19 outbreak has emerged as a crucial focus in healthcare research. Although RT-PCR stands as the primary method for COVID-19 detection, its extended de…

cs.CV2024

Hand Biometrics in Digital Forensics

Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri

Digital forensic is now an unavoidable part for securing the digital world from identity theft. Higher order of crimes, dealing with a massive database is really very challenging p…

cs.CV2023

Finger Biometric Recognition With Feature Selection

Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri

Biometrics is indispensable in this modern digital era for secure automated human authentication in various fields of machine learning and pattern recognition. Hand geometry is a p…

cs.CV2023★ 5 cited

Deep Neural Networks Fused with Textures for Image Classification

Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri

Fine-grained image classification (FGIC) is a challenging task in computer vision for due to small visual differences among inter-subcategories, but, large intra-class variations.…