Signature Verification Based On The Control Theory Of Skilled Movements

Rashidi, Saeed; Fallah, Ali; Towhidkhah, Farzad

doi:10.22041/ijbme.2008.13546

Document Type : Full Research Paper

Authors

¹ Instructor, Department of Bioelectric, Biomedical Engineering School, Science and Research Branch, Islamic Azad University

² Assistant Professor, Department of Bioelectric, Biomedical Engineering School, Amir Kabir University

³ Associate Professor, Department of Bioelectric, Biomedical Engineering School, Amir Kabir University

10.22041/ijbme.2008.13546

Abstract

Dynamic signature verification based on temporal features are more precise than the static methods because in addition to position information of the drawing pattern, it uses local and global features extracted from velocity, acceleration, pressure and pen angle signals, while static methods only use image information. In this study, we segmented the signature patterns using the basic role of velocity in the control process of skilled movements and then the function features were extracted. In order to signal the matching evaluation, we applied five generalized functions and five weighting strategies for score level fusion. The results showed that the correlation criterion had the minimum error. The experiments on the database, consisting of persons of Persian, Chinese and English, showed that the skilled forgeries obtained an equal error rate (EER) of 0.87% and 1.24% for the user and universal thresholds, respectively.

Keywords

Main Subjects

Biomechanical Motor Control / Motor Control of Human Movement

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Iranian Journal of Biomedical Engineering

Signature Verification Based On The Control Theory Of Skilled Movements

References

References

Volume 1, Issue 4 - Serial Number 4
June 2007
Pages 269-280

Signature Verification Based On The Control Theory Of Skilled Movements

References

References

Volume 1, Issue 4 - Serial Number 4June 2007Pages 269-280

Volume 1, Issue 4 - Serial Number 4
June 2007
Pages 269-280