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检索条件"机构=Indian Statistical Institute Computer Vision and Pattern Recognition Unit"
436 条 记 录,以下是401-410 订阅
排序:
Fast and efficent multimodal eye biometrics using projective dictionary pair learning
Fast and efficent multimodal eye biometrics using projective...
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Congress on Evolutionary Computation
作者: Abhijit Das Prabir Mondal Umapada Pal Miguel Angel Ferrer Michael Blumenstein Institute for Integrated and Intelligent Systems Griffith University Queensland Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India IDeTIC University of Las Palmas de Gran Canaria Las Palmas Spain School of Software University of Technology Sydney Australia
This work proposes a projective pairwise dictionary learning-based approach for fast and efficient multimodal eye biometrics. The work uses a faster Projective pairwise Discriminative Dictionary Learning (DL) in contr... 详细信息
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A new efficient and adaptive sclera recognition system
A new efficient and adaptive sclera recognition system
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IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
作者: Abhijit Das Umapada Pal Miguel Angel Ferrer Ballester Michael Blumenstein Institute for Integrated and Intelligent Systems Griffith University Queensland Australia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India IDeTIC Universidad de Las Palmas de Gran Canaria Las Palmas de Gran Canaria Islas Canarias ES
In this paper an efficient and adaptive biometric sclera recognition and verification system is proposed. Sclera segmentation was performed by Fuzzy C-means clustering. Since the sclera vessels are not prominent, in o... 详细信息
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Product graph-based higher order contextual similarities for inexact subgraph matching
arXiv
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arXiv 2017年
作者: Dutta, Anjan Lladós, Josep Bunke, Horst Pal, Umapada Computer Vision Center Universitat Autònoma de Barcelona Edifici O Campus UAB Bellaterra Barcelona08193 Spain Institute of Computer Science University of Bern Neubrückstrasse 10 BernCH-3012 Switzerland Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B.T.Road Kolkata-108 India
Many algorithms formulate graph matching as an optimization of an objective function of pairwise quantification of nodes and edges of two graphs to be matched. Pairwise measurements usually consider local attributes b... 详细信息
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Chebyshev-Harmonic-Fourier-Moments and Deep CNNs for Detecting Forged Handwriting
Chebyshev-Harmonic-Fourier-Moments and Deep CNNs for Detecti...
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International Conference on pattern recognition
作者: Lokesh Nandanwar Palaiahnakote Shivakumara Sayani Kundu Umapada Pal Tong Lu Daniel Lopresti Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China Computer Science & Engineering Lehigh University Bethlehem PA USA
Recently developed sophisticated image processing techniques and tools have made easier the creation of high-quality forgeries of handwritten documents including financial and property records. To detect such forgerie... 详细信息
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New Sharpness Features for Image Type Classification Based on Textual Information
New Sharpness Features for Image Type Classification Based o...
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IAPR International Workshop on Document Analysis Systems, DAS
作者: K. S. Raghunandan Palaiahnakote Shivakumara G. Hemantha Kumar Umapada Pal Tong Lu Department of Studies in Computer Science University of Mysore Karnataka India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India Narional Key Lab for Novel Software Technology Nanjing University Nanjing China
Achieving good recognition results from a single method for text lines in video/natural scene images captured by high resolution cameras or low resolution mobile cameras, and images in web pages, is often hard. In thi... 详细信息
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Adaptive Multi-Gradient Kernels for Handwritting Based Gender Identification
Adaptive Multi-Gradient Kernels for Handwritting Based Gende...
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International Workshop on Frontiers in Handwriting recognition
作者: B. J Navya Palaiahnakote Shivakumara G.C Shwetha Sangheeta Roy D. S. Guru Umapada Pal Tong Lu Department of Studies in Computer Science University of Mysore Karnataka India Faculty of Computer System and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
Handwriting based Gender identification is challenging due to unconstrained handwriting and individual differences in writing. To solve this problem, we propose a new adaptive multi-gradient of Sobel kernels for extra... 详细信息
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Weighted-Gradient Features for Handwritten Line Segmentation
Weighted-Gradient Features for Handwritten Line Segmentation
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International Conference on pattern recognition
作者: Vijeta Khare Palaiahnakote Shivakumara B.J. Navya G.C. Swetha D. S. Guru Umapada Pal Tong Lu Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Studies in Computer Science University of Mysore Karnataka India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
Text line segmentation from handwritten documents is challenging when a document image contains severe touching. In this paper, we propose a new idea based on Weighted-Gradient Features (WGF) for segmenting text lines... 详细信息
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Fourier Coefficients for Fraud Handwritten Document Classification through Age Analysis
Fourier Coefficients for Fraud Handwritten Document Classifi...
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International Workshop on Frontiers in Handwriting recognition
作者: K.S. Raghunandan Palaiahnakote Shivakumara B.J. Navya G. Pooja Navya Prakash G. Hemantha Kumar Umapada Pal Tong Lu Department of Studies in Computer Science University of Mysore Karnataka India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
As new digital technologies emerge to improve living style, at the same time, it also lead to increase crimes. Unlike existing approaches that use content of handwriting for fraud/forged document identification, in th... 详细信息
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Multi-Gradient Directional Features for Gender Identification
Multi-Gradient Directional Features for Gender Identificatio...
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International Conference on pattern recognition
作者: B.J. Navya G. C. Swetha Palaiahnakote Shivakumara Sangheeta Roy D. S. Guru Umapada Pal Tong Lu Department of Studies in Computer Science University of Mysore Karnataka India Faculty of Computer System and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
Gender identification based on handwriting analysis has received a special attention to researchers in the field of document image analysis as it is useful for several real-time applications like forensic, population ... 详细信息
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ICDAR 2013 CROHME: Third International Competition on recognition of Online Handwritten Mathematical Expressions
ICDAR 2013 CROHME: Third International Competition on Recogn...
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International Conference on Document Analysis and recognition
作者: Harold Mouchère Christian Viard-Gaudin Richard Zanibbi Utpal Garain Dae Hwan Kim Jin Hyung Kim LUNAM IRCCyN IVC-UMR CNRS 6597 Ecole Polytechnique de Université de Nantes Nantes France Department of Computer Science Rochester Institute of Technology Rochester NY USA Computer Vision & Pattern Recognition Unit Indian Statistical Institute Kolkata India Korea Advanced Institute of Science and Technology Daejeon South Korea
We report on the third international Competition on Handwritten Mathematical Expression recognition (CROHME), in which eight teams from academia and industry took part. For the third CROHME, the training dataset was e... 详细信息
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