The Community for Technology Leaders
RSS Icon
Subscribe
Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISBN: 0-7695-2187-8
pp: 191-195
Hansheng Lei , State University of New York at Buffalo
Srinivas Palla , State University of New York at Buffalo
Venu Govindaraju , State University of New York at Buffalo
ABSTRACT
ER² (Extended R-squared) is proposed as a similarity measure for on-line signature verification. SLR (Simple Linear Regression) defines R² as a measure of goodness-of-fit. We observed that R² is a good similarity measure for 1-dimensional sequences. However, many kinds of sequences are multidimensional, such as on-line signature sequences, 2D curves, etc. Therefore, we extend R² to ER² for multidimensional sequence matching. Coupled with optimal alignment, ER² outperforms DTW-based curve matching on on-line signature verification.
INDEX TERMS
null
CITATION
Hansheng Lei, Srinivas Palla, Venu Govindaraju, "ER²: An Intuitive Similarity Measure for On-Line Signature Verification", IWFHR, 2004, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition, Proceedings. Ninth International Workshop on Frontiers in Handwriting Recognition 2004, pp. 191-195, doi:10.1109/IWFHR.2004.38
202 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool