Glove-Based Approach to Online Signature Verification

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 30; no. 6; pp. 1109 - 1113
• Main Authors: Kamel, N.S., Sayeed, S., Ellis, G.A.
• Format: Journal Article
• Language: English
• Published: Los Alamitos, CA IEEE 01.06.2008; IEEE Computer Society; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Artificial Intelligence; Authentication; Automatic Data Processing - methods; Biometry - instrumentation; Biometry - methods; Computer Graphics; Computer science; control theory; systems; Data gloves; Decomposition; Documentation; Error analysis; Exact sciences and technology; Feature extraction; Fingers; Fingers - anatomy & histology; Fingers - physiology; Gloves; Handwriting; Handwriting analysis; Handwriting recognition; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Information Storage and Retrieval - methods; Mathematical analysis; Matrix decomposition; Models, Statistical; Numerical Analysis, Computer-Assisted; On-line systems; Online; Pattern Recognition; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Reproducibility of Results; Sensitivity and Specificity; Shape; Signal Processing, Computer-Assisted; Signatures; Singular value decomposition; Subspaces; Subtraction Technique; Testing; Transducers; User-Computer Interface; Handwriting analysis; Pattern Recognition; Singularity; Dimensionality; Glove; Finger; Character recognition; Data glove; System with n degrees of freedom; Vector space; Signing; online signature verification; Authentication; Classification; Bandwidth; Data models; Manuscript character; Pattern analysis; Artificial intelligence; Singular value decomposition
• ISSN: 0162-8828; 1939-3539
• DOI: 10.1109/TPAMI.2008.32

Utilizing the multiple degrees of freedom offered by the data glove for each finger and the hand, a novel online signature verification system using the singular value decomposition (SVD) numerical tool for signature classification and verification is presented. The proposed technique is based on the Singular value decomposition in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, so the effective dimensionality of A can be reduced. Having modeled the data glove signature through its r-principal subspace, signature authentication is performed by finding the angles between the different subspaces. A demonstration of the data glove is presented as an effective high- bandwidth data entry device for signature verification. This SVD-based signature verification technique is tested and its performance is shown to be able to produce equal error rate (EER) of less than 2.37 percent.