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Titlebook: Computational Forensics; 5th International Wo Utpal Garain,Faisal Shafait Conference proceedings 2015 Springer International Publishing Swi

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楼主: Osteopenia
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Probability Theory and Stochastic Modellingdon-transform based local descriptor at the crack junctions – and matching are described. Matching accuracy was 98.69 % on our database of 151 genuine unique craquelure images with simulated multiple copies of each pattern.
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Efficient Iris Recognition System Using Relational Measuresd recognition approach has obtained a . of . on CASIA-4.0 Interval, . on CASIA-4.0 Lamp and . on IITK database. It has also achieved an EER of . on CASIA-4.0 Interval, . on CASIA-4.0 Lamp and . on IITK database.
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Lessons Learned from Automatic Forgery Detection in over 100,000 Invoicesdocuments over the last years. In this paper, we present an analysis of the application of our methods on a large real-world dataset of invoices to identify the weaknesses of our existing methods and propose some promising directions of future work in the field.
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Art Forgery Detection via Craquelure Pattern Matchingdon-transform based local descriptor at the crack junctions – and matching are described. Matching accuracy was 98.69 % on our database of 151 genuine unique craquelure images with simulated multiple copies of each pattern.
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Computational Forensics978-3-319-20125-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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