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Ninth International Workshop on Frontiers in Handwriting Recognition (2004)
Kokubunji, Tokyo, Japan
Oct. 26, 2004 to Oct. 29, 2004
ISSN: 1550-5235
ISBN: 0-7695-2187-8
pp: 191-195
Hansheng Lei , State University of New York at Buffalo
Venu Govindaraju , State University of New York at Buffalo
Srinivas Palla , 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
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CITATION
Hansheng Lei, Venu Govindaraju, Srinivas Palla, "ER²: An Intuitive Similarity Measure for On-Line Signature Verification", Ninth International Workshop on Frontiers in Handwriting Recognition, vol. 00, no. , pp. 191-195, 2004, doi:10.1109/IWFHR.2004.38
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