ER2: an intuitive similarity measure for on-line signature verification
نویسندگان
چکیده
ER (Extended R-squared) is proposed as a similarity measure for on-line signature verification. SLR (Simple Linear Regression) defines R as a measure of goodnessof-fit. We observed that R 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 R to ER for multidimensional sequence matching. Coupled with optimal alignment, ER outperforms DTW-based curve matching on on-line signature verification.
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