Výsledky vyhledávání

Probabilistic Measure for Signature Verification Based on Bayesian Learning

Publikováno v: ICPR

Signature verification is a common task in forensic document analysis. The goal is to make a decision whether a questioned signature belongs to a set of known signatures of an individual or not. In a typical forgery case a very limited number of know

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e2d063ad3d2bd2dc4d183eed09cb8601
https://doi.org/10.1109/icpr.2010.1142

Zobrazit plný text záznamu

Comparison of historical documents for writership

Autor: Danjun Pu, Gregory R. Ball, Roger Stritmatter, Sargur N. Srihari

Publikováno v: DRR

Over the last century forensic document science has developed progressively more sophisticated pattern recognition methodologies for ascertaining the authorship of disputed documents. These include advances not only in computer assisted stylometrics,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95518884fc1a8437315713bcc016f8a4
https://doi.org/10.1117/12.839923

Zobrazit plný text záznamu

A Machine Learning Approach to Off-Line Signature Verification Using Bayesian Inference

Autor: Gregory R. Ball, Sargur N. Srihari, Danjun Pu

Publikováno v: Computational Forensics ISBN: 9783642035203
IWCF

A machine learning approach to off-line signature verification is presented. The prior distributions are determined from genuine and forged signatures of several individuals. The task of signature verification is a problem of determining genuine-clas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ebffb4461e458aa34ef14794799e72e8
https://doi.org/10.1007/978-3-642-03521-0_12

Zobrazit plný text záznamu

Signature Verification Using a Bayesian Approach

Autor: Sargur N. Srihari, Chen Huang, Danjun Pu, Harish Srinivasan, Kamal Kuzhinjedathu

Publikováno v: Computational Forensics ISBN: 9783540853022
IWCF

The fully Bayesian approach has been shown to be powerful in machine learning. This paper describes signature verification using a non-parametric Bayesian approach. Given sample(s) of Genuine signatures of an individual, the task of signature verific

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9ab2d007f1fe24e7bb5a37d9d2a85acf
https://doi.org/10.1007/978-3-540-85303-9_18

Zobrazit plný text záznamu

Conference

Probabilistic Measure for Signature Verification Based on Bayesian Learning.

Autor: Danjun Pu, Srihari, S.N.

Publikováno v: 2010 20th International Conference on Pattern Recognition (ICPR); 2010, p1188-1191, 4p

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání