DocumentCode :
2016574
Title :
Advances in Writer Identification and Verification
Author :
Schomaker, Lambert
Volume :
2
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
1268
Lastpage :
1273
Abstract :
The behavioral-biometrics methods of writer identification and verification are currently enjoying renewed interest, with very promising results. This paper presents a general background and basis for handwriting biometrics. A range of current methods and applications is given. Results on a number of methods are summarized and a more in-depth example of two combined approaches is presented. By combining textural, allographic and placement features, modern systems are starting to display useful performance levels. However, user acceptance will be largely determined by explainability of system results and the integration of system decisions within a (Bayesian) framework of reasoning that is currently becoming forensic practice.
Keywords :
handwriting recognition; allographic features; behavioral-biometrics methods; handwriting biometrics; placement features; textural features; writer identification; writer verification; Application software; Bayesian methods; Biometrics; Displays; Forensics; Handwriting recognition; Humans; Ink; Shape; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4377119
Filename :
4377119
Link To Document :
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