Abstract
DWT domain on-line signature verification method has bee proposed. Time-varying pen-position signal is decomposed into sub-band signals by using the DWT. Individual features are extracted as high frequency signals in sub-band. By using the extracted feature, verification is achieved at each sub-band and then total decision is done by combining such verification results. In this paper, we introduce a user weighting fusion into the total decision for improving verification performance. Through many verification experiments, it is confirmed that there is an optimal weight combination for each user and verifiaction rate can be improved when the optimal weight combination is applied. Such the optimal weight combination also becomes an individual feature which can not be known by others.
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Nakanishi, I., Sakamoto, H., Itoh, Y., Fukui, Y. (2005). Optimal User Weighting Fusion in DWT Domain On-Line Signature Verification. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_79
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DOI: https://doi.org/10.1007/11527923_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27887-0
Online ISBN: 978-3-540-31638-1
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