Title :
ER2: an intuitive similarity measure for on-line signature verification
Author :
Lei, Hansheng ; Palla, Srinivas ; Govindaraju, Venu
Author_Institution :
CUBS, State Univ. of New York, Amherst, NY, USA
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 R2is 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.
Keywords :
feature extraction; handwriting recognition; image matching; image sequences; regression analysis; dynamic time warping curve matching; extended r-squared; multidimensional sequence matching; online signature sequence; online signature verification; similarity measure; simple linear regression; Authentication; Biometrics; Biosensors; Erbium; Feature extraction; Fingerprint recognition; Handwriting recognition; Linear regression; Multidimensional systems; Venus;
Conference_Titel :
Frontiers in Handwriting Recognition, 2004. IWFHR-9 2004. Ninth International Workshop on
Print_ISBN :
0-7695-2187-8
DOI :
10.1109/IWFHR.2004.38