P
Partha Pratim Roy
Researcher at Indian Institute of Technology Roorkee
Publications - 509
Citations - 8436
Partha Pratim Roy is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 36, co-authored 404 publications receiving 5505 citations. Previous affiliations of Partha Pratim Roy include Samsung & Indian Statistical Institute.
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UDBNET: Unsupervised Document Binarization Network via Adversarial Game
TL;DR: A novel approach towards document image binarization is presented by introducing three-player minmax adversarial game and the superior performance of the proposed model over existing state-of-the-art algorithm on widely used DIBCO datasets is indicated.
Journal ArticleDOI
A Robust Biometric Authentication System for Handheld Electronic Devices by Intelligently Combining 3D Finger Motions and Cerebral Responses
TL;DR: In this article, a new method is proposed to verify air signatures by analyzing finger movements and cerebral activities together with the help of sensors in next-generation consumer electronic (CE) devices.
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Trajectory-based Scene Understanding using Dirichlet Process Mixture Model
TL;DR: Experimental validation reveals that the proposed unsupervised and nonparametric method can learn a scene quickly without prior knowledge about the number of paths, and the advantages of the proposed method over the existing techniques popularly used for designing traffic monitoring applications are highlighted.
Journal ArticleDOI
Synthesis and cytotoxicity of novel 14α-O-(andrographolide-3-subsitutedisoxazole-5-carboxylate) derivatives.
Sudhakar Mokenapelli,Jayaprakash Rao Yerrabelli,Neeladrisingha Das,Partha Pratim Roy,Prasad Rao Chitneni +4 more
TL;DR: Most of the compounds exhibited improved cytotoxic activity compared to the parent molecule andrographolide, as the compounds 10b, 10c, 10i, 10j, 11d and 11f showed significant cytotoxicity against three cancer cell lines.
Proceedings ArticleDOI
Query driven word retrieval in graphical documents
TL;DR: Experimental results show that the method is efficient to locate a query word from multi-oriented text in graphical documents.