activity
20172020
most citedFashion Retail: Forecasting Demand for New Items

10 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform

Pawan Kumar Singh, Shubham Sinha, Sagnik Pal Chowdhury +2

Segmentation of handwritten document images into text lines and words is one of the most significant and challenging tasks in the development of a complete Optical Character Recogn…

cs.CV2020

A New Approach for Texture based Script Identification At Block Level using Quad Tree Decomposition

Pawan Kumar Singh, Supratim Das, Ram Sarkar +1

A considerable amount of success has been achieved in developing monolingual OCR systems for Indic scripts. But in a country like India, where multi-script scenario is prevalent, i…

cs.CV2020

Handwritten Script Identification from Text Lines

Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar +1

In a multilingual country like India where 12 different official scripts are in use, automatic identification of handwritten script facilitates many important applications such as…

cs.NE2020

A Hybrid Swarm and Gravitation based feature selection algorithm for Handwritten Indic Script Classification problem

Ritam Guha, Manosij Ghosh, Pawan Kumar Singh +2

In any multi-script environment, handwritten script classification is of paramount importance before the document images are fed to their respective Optical Character Recognition (…

cs.OH201910 cited

Fashion Retail: Forecasting Demand for New Items

Pawan Kumar Singh, Yadunath Gupta, Nilpa Jha +1

Fashion merchandising is one of the most complicated problems in forecasting, given the transient nature of trends in colours, prints, cuts, patterns, and materials in fashion, the…

cs.CV20173 cited

A Harmony Search Based Wrapper Feature Selection Method for Holistic Bangla word Recognition

Supratim Das, Pawan Kumar Singh, Showmik Bhowmik +2

A lot of search approaches have been explored for the selection of features in pattern classification domain in order to discover significant subset of the features which produces…