Empirical mode decomposition for online handwritten signature verification

• Published in: IET biometrics Vol. 5; no. 3; pp. 190 - 199
• Main Authors: Hafs, Toufik, Bennacer, Layachi, Boughazi, Mohamed, Nait-Ali, Amine
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 01.09.2016; John Wiley & Sons, Inc
• Subjects: biometric method; Biometrics; Cognitive science; Computer Science; Computer Vision and Pattern Recognition; Decomposition; EMD; Empirical analysis; empirical mode decomposition; Error analysis; handwriting recognition; handwritten character recognition; Handwritten signature verification; Hilbert transforms; Interpolation; Mathematical analysis; Methods; Permissible error; Signal processing; Signatures; Wavelet transforms; biometric method; handwritten character recognition; empirical mode decomposition; handwritten signature verification; handwriting recognition; EMD; Hilbert transforms
• ISSN: 2047-4938; 2047-4946; 2047-4946
• DOI: 10.1049/iet-bmt.2014.0041

The handwritten signature is a biometric method used to verify a person's identity. This study lies within the scope of an online handwritten signature verification system, in which a signature is modelled by an analytical approach based on the empirical mode decomposition. The organised system is tested on the SVC2004 task1 and MYCT-100 databases. The implemented evaluation protocol shows the importance of the adopted method and allows obtaining an equal error rate of 1.83 and 2.23% for the SVC2004 task1 and the MYCT-100 databases, respectively.