Paper
15 February 2006 Analyzing handwriting biometrics in metadata context
Tobias Scheidat, Franziska Wolf, Claus Vielhauer
Author Affiliations +
Proceedings Volume 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII; 60720H (2006) https://doi.org/10.1117/12.642116
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
In this article, methods for user recognition by online handwriting are experimentally analyzed using a combination of demographic data of users in relation to their handwriting habits. Online handwriting as a biometric method is characterized by having high variations of characteristics that influences the reliance and security of this method. These variations have not been researched in detail so far. Especially in cross-cultural application it is urgent to reveal the impact of personal background to security aspects in biometrics. Metadata represent the background of writers, by introducing cultural, biological and conditional (changing) aspects like fist language, country of origin, gender, handedness, experiences the influence handwriting and language skills. The goal is the revelation of intercultural impacts on handwriting in order to achieve higher security in biometrical systems. In our experiments, in order to achieve a relatively high coverage, 48 different handwriting tasks have been accomplished by 47 users from three countries (Germany, India and Italy) have been investigated with respect to the relations of metadata and biometric recognition performance. For this purpose, hypotheses have been formulated and have been evaluated using the measurement of well-known recognition error rates from biometrics. The evaluation addressed both: system reliance and security threads by skilled forgeries. For the later purpose, a novel forgery type is introduced, which applies the personal metadata to security aspects and includes new methods of security tests. Finally in our paper, we formulate recommendations for specific user groups and handwriting samples.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tobias Scheidat, Franziska Wolf, and Claus Vielhauer "Analyzing handwriting biometrics in metadata context", Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60720H (15 February 2006); https://doi.org/10.1117/12.642116
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Biometrics

Analytical research

Computer security

Biological research

Statistical analysis

Data acquisition

Information security

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