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20162024
most citedSigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

179 citations · 958 across the 53 of their papers we have counts for

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Showing 2018Show all

11 papers · 1 filter

cs.CV2018★ 30 cited

A Deep One-Shot Network for Query-based Logo Retrieval

Ayan Kumar Bhunia, Ankan Kumar Bhunia, Shuvozit Ghose +3

Logo detection in real-world scene images is an important problem with applications in advertisement and marketing. Existing general-purpose object detection methods require large…

cs.CV2018

Bag-of-Visual-Words for Signature-Based Multi-Script Document Retrieval

Ranju Mandal, Partha Pratim Roy, Umapada Pal +1

An end-to-end architecture for multi-script document retrieval using handwritten signatures is proposed in this paper. The user supplies a query signature sample and the system exc…

cs.CV2018★ 50 cited

Effects of Degradations on Deep Neural Network Architectures

Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +1

Deep convolutional neural networks (CNN) have massively influenced recent advances in large-scale image classification. More recently, a dynamic routing algorithm with capsules (gr…

cs.CV2018★ 1 cited

A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification

Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui +2

Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) id…

cs.CV2018

Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch

Sounak Dey, Anjan Dutta, Suman K. Ghosh +3

In this work we introduce a cross modal image retrieval system that allows both text and sketch as input modalities for the query. A cross-modal deep network architecture is formul…

cs.CV2018★ 1 cited

Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network

Ayan Kumar Bhunia, Subham Mukherjee, Aneeshan Sain +3

In this paper, we propose a novel approach of word-level Indic script identification using only character-level data in training stage. The advantages of using character level data…