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Exploiting Characte...
Exploiting Character Class Information in Forensic Writer Identification
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- Alonso-Fernandez, Fernando (författare)
- Escuela Politecnica Superior, Univ. Autonoma de Madrid, Spain,ATVS/Biometric Recognition Group
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- Fierrez-Aguilar, J. (författare)
- Universidad Autonoma de Madrid, Spain
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- Galbally, J. (författare)
- Universidad Autonoma de Madrid, Spain
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- Ortega-Garcia, J. (författare)
- Universidad Autonoma de Madrid, Spain
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Escuela Politecnica Superior, Univ Autonoma de Madrid, Spain ATVS/Biometric Recognition Group (creator_code:org_t)
- Berlin : Springer Berlin/Heidelberg, 2011
- 2011
- Engelska.
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Ingår i: Computational forensics. - Berlin : Springer Berlin/Heidelberg. - 9783642193750 ; , s. 31-42
- Relaterad länk:
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https://hh.diva-port... (primary) (Raw object)
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http://hh.diva-porta...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Questioned document examination is extensively used by forensic specialists for criminal identification. This paper presents a writer recognition system based on contour features operating in identification mode (one-to-many) and working at the level of isolated characters. 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. Three different scenarios for identity modeling are proposed, making use to a different degree of the class information provided by the alphanumeric samples. 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 significant amount of time spent in manual segmentation and labeling by the forensic specialist. © 2011 Springer-Verlag Berlin Heidelberg.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
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- kon (ämneskategori)
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