Biografo: An integrated tool for forensic writer identification
Entity
UAM. Departamento de Tecnología Electrónica y de las ComunicacionesPublisher
Springer VerlagDate
2015Citation
10.1007/978-3-319-20125-2_17
Computational Forensics: 5th International Workshop, IWCF 2012, Tsukuba, Japan, November 11, 2012 and 6th International Workshop, IWCF 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers. Lecture Notes in Computer Science, Volumen 8915. Springer, 2015. 200-211
ISSN
0302-9743ISBN
978-3-319-20124-5 (print); 978-3-319-20125-2 (online)DOI
10.1007/978-3-319-20125-2_17Funded by
This work has been partially supported by the Spanish Dirección General de la Guardia Civil, and projects Contexts (S2009/TIC-1485) from CAM, Bio-Challenge (TEC2009-11186) from Spanish MICINN, BBfor2 (ITN-2008-238803) from the European Commision, and Cátedra UAM-Telefónica.Project
Comunidad de Madrid. S2009/TIC-1485/CONTEXTS; Gobierno de España. TEC2009-11186; info:eu-repo/grantAgreement/EC/FP7/238803Editor's Version
http://dx.doi.org/10.1007/978-3-319-20125-2_17Subjects
Data acquisition; Database management; Forensics; Writer identification; TelecomunicacionesNote
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-20125-2_17Rights
© Springer-Verlag Berlin Heidelberg 2015Abstract
The design and performance of a practical integrated tool for writer identification in forensic scenarios is presented. The tool has been designed to help forensic examiners along the complete identification process: from the data acquisition to the recognition itself, as well as with the management of large writer-related databases. The application has been implemented using JavaScript running over a relational database which provides the whole system with some very desirable and unique characteristics such as the possibility to perform all type of queries (e.g., find individuals with some very discriminative character, find a specific document, display all the samples corresponding to one writer, etc.), or a complete control over the set of parameters we want to use in a specific recognition task (e.g., users in the database to be used as control set, set of characters to be used in the identification, size of the ranked list we want as final result, etc.). The identification performance of the tool is evaluated on a real-case forensic database showing some very promising results.
Files in this item
Google Scholar:Galbally Herrero, Javier
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Gonzalez-Dominguez, Santiago
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Fiérrez Aguilar, Julián
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Ortega García, Javier
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