TY - GEN
T1 - Categorizing global and local features of on-line signature verification using DTW and fuzzy logic
AU - Taherzadeh, Ghazaleh
AU - Karimi, Roozbeh
AU - Ghobadi, Alireza
AU - Amoli, Payam Vahdani
AU - Mirjalili, Seyedali
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
KW - DTW algorithm
KW - EER
KW - Features
KW - Online signature verification
UR - http://www.scopus.com/inward/record.url?scp=84864918545&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84864918545
SN - 9781601321916
T3 - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
SP - 349
EP - 353
BT - Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
T2 - 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Y2 - 18 July 2011 through 21 July 2011
ER -
