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Forensic Writer Identification Using Allographic Features
Universidad Autonoma de Madrid, Spain.
Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain. (ATVS/Biometric Recognition Group)ORCID iD: 0000-0002-1400-346X
Universidad Autonoma de Madrid, Spain.
Universidad Autonoma de Madrid, Spain.
2010 (English)In: Proceedings: 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Los Alamitos, Calif.: IEEE Computer Society, 2010, 308-313 p.Conference paper, Published paper (Refereed)
Abstract [en]

Questioned document examination is extensively used by forensic specialists for criminal identification. This paper presents a writer recognition system based on allographic features operating in identification mode (one-to-many). It works at the level of isolated characters, considering that each writer uses a reduced number of shapes for each one. Individual characters of a writer are manually segmented and labeled by an expert as pertaining to one of 62 alphanumeric classes (10 numbers and 52 letters, including lowercase and uppercase letters), being the particular setup used by the forensic laboratory participating in this work. A codebook of shapes is then generated by clustering and the probability distribution function of allograph usage is the discriminative feature used for recognition. Results obtained on a database of 30 writers from real forensic documents show that the character class information given by the manual analysis provides a valuable source of improvement, justifying the proposed approach. We also evaluate the selection of different alphanumeric channels, showing a dependence between the size of the hit list and the number of channels needed for optimal performance. © 2010 IEEE.

Place, publisher, year, edition, pages
Los Alamitos, Calif.: IEEE Computer Society, 2010. 308-313 p.
National Category
Signal Processing
URN: urn:nbn:se:hh:diva-21235DOI: 10.1109/ICFHR.2010.54Scopus ID: 2-s2.0-79951683972ISBN: 978-076954221-8 OAI: diva2:589361
12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010, Kolkata, India, 16-18 November, 2010
Available from: 2013-01-17 Created: 2013-01-17 Last updated: 2015-09-29Bibliographically approved

Open Access in DiVA

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