Search Results for author: Pawan Kumar Singh

Found 9 papers, 1 papers with code

Handwritten Script Identification from Text Lines

no code implementations16 Sep 2020 Pawan Kumar Singh, Iman Chatterjee, Ram Sarkar, Mita Nasipuri

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 automatic transcription of multilingual documents, searching for documents on the web/digital archives containing a particular script and for the selection of script specific Optical Character Recognition (OCR) system in a multilingual environment.

Optical Character Recognition Optical Character Recognition (OCR)

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

no code implementations10 May 2020 Ritam Guha, Manosij Ghosh, Pawan Kumar Singh, Ram Sarkar, Mita Nasipuri

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

Classification feature selection +3

Fashion Retail: Forecasting Demand for New Items

no code implementations27 Jun 2019 Pawan Kumar Singh, Yadunath Gupta, Nilpa Jha, Aruna Rajan

This problem has been addressed by analysts and statisticians as well as ML researchers in a conventional fashion - of building models that forecast for future demand given a particular item of fashion with historical data on its sales.

Other Computer Science

Recognition of Offline Handwritten Devanagari Numerals using Regional Weighted Run Length Features

no code implementations29 Jun 2018 Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri

Recognition of handwritten Roman characters and numerals has been extensively studied in the last few decades and its accuracy reached to a satisfactory state.

Understanding Fashionability: What drives sales of a style?

no code implementations28 Jun 2018 Aniket Jain, Yadunath Gupta, Pawan Kumar Singh, Aruna Rajan

We use customer demand data for fashion articles on Myntra, and derive a fashionability or style quotient, which represents customer demand for the stylistic content of a fashion article, decoupled with its commercials (price, offers, etc.).

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

no code implementations26 Jul 2017 Supratim Das, Pawan Kumar Singh, Showmik Bhowmik, Ram Sarkar, Mita Nasipuri

In this paper, we introduced a Harmony Search (HS) algorithm based feature selection method for feature dimensionality reduction in handwritten Bangla word recognition problem.

Dimensionality Reduction Evolutionary Algorithms +2

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