Baseline extraction algorithm for online signature recognition

Authors:
Azlinah Azlinah Mohamed;Rohayu Yusof;Shuzlina Abdul Rahman;Sofianita Mutalib
Affiliations:
Faculty of Computer Sciences and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Computer Sciences and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Computer Sciences and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia;Faculty of Computer Sciences and Mathematics, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia
Venue:
WSEAS TRANSACTIONS on SYSTEMS
Year:
2009

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Abstract

In this paper, we discuss baseline extraction algorithm for online signature recognition based on vector rules. In order to recognize, verify and analyze a signature, one needs to establish the feasible computational signature features which would be required to be extracted. The main features in this case are direction, slant, baseline, pressure, speed and numbers of pen ups and downs. Method of extracting features signature depends on the requirement features to be extracted. In this paper, we propose the construction of an algorithm to extract the baseline from signature. Signatures are taken from twenty randomly selected individuals with different background. In order to validate the algorithm, the capture image of each signature is use as samples for a developed questionnaire to be given to human expert. These questionnaires are all about identifying the baseline of the signatures. Both results from automatic baseline detector and the questionnaire are compared, and it shows that the algorithm is 90% accurate. It can be concluded that the algorithm proposed are acceptable to represent extraction of signature features based on baseline.