Categorizing global and local features of on-line signature verification using DTW and fuzzy logic

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Author(s)
Taherzadeh, G
Karimi, R
Ghobadi, A
Amoli, PV
Mirjalili, S
Griffith University Author(s)
Year published
2011
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In this paper, we study the online signature verification features to define their personalities and categorize them in different groups. We employed 30 features in four categories, a faster methodology using DTW and Fuzzy logic has been applied to find optimal solution based on the lowest Equal Error Rate (EER). At the end, we compare the result with the different methods proposed by other researchers.In this paper, we study the online signature verification features to define their personalities and categorize them in different groups. We employed 30 features in four categories, a faster methodology using DTW and Fuzzy logic has been applied to find optimal solution based on the lowest Equal Error Rate (EER). At the end, we compare the result with the different methods proposed by other researchers.
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Conference Title
Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Volume
1
Copyright Statement
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