R
Rajat Kumar Singh
Researcher at Indian Institute of Information Technology, Allahabad
Publications - 115
Citations - 1516
Rajat Kumar Singh is an academic researcher from Indian Institute of Information Technology, Allahabad. The author has contributed to research in topics: Wireless sensor network & Optical switch. The author has an hindex of 16, co-authored 95 publications receiving 1159 citations. Previous affiliations of Rajat Kumar Singh include Indian Institute of Technology Kanpur & Indian Institutes of Information Technology.
Papers
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Multichannel Decoded Local Binary Patterns for Content-Based Image Retrieval
TL;DR: This paper introduces adder- and decoder-based two schemas for the combination of the LBPs from more than one channel to improve the retrieval performance over each database and outperform the other multichannel-based approaches in terms of the average retrieval precision and average retrieval rate.
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Local Wavelet Pattern: A New Feature Descriptor for Image Retrieval in Medical CT Databases
TL;DR: The proposed LWP descriptor is compared with the other state-of-the-art local image descriptors, and the experimental results suggest that the proposed method outperforms other methods for CT image retrieval.
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Local Diagonal Extrema Pattern: A New and Efficient Feature Descriptor for CT Image Retrieval
TL;DR: A new and efficient image features descriptor based on the local diagonal extrema pattern (LDEP) is proposed for CT image retrieval which speeds up the image retrieval task and solves the “Curse of dimensionality” problem also.
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Local Bit-Plane Decoded Pattern: A Novel Feature Descriptor for Biomedical Image Retrieval
TL;DR: The experimental results confirm the discriminative ability and the efficiency of the proposed LBDP for biomedical image indexing and retrieval and prove the outperformance of existing biomedical image retrieval approaches.
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Identity verification using shape and geometry of human hands
TL;DR: A multimodal biometric system for personal identity verification is proposed using hand shape and hand geometry in this paper and outperforms other approaches with the best 0.31% of EER.