ER2: An intuitive similarity measure for on-line signature verification

Hansheng Lei; Srinivas Palla; Venu Govindaraju

doi:10.1109/IWFHR.2004.38

ER²: An intuitive similarity measure for on-line signature verification

Hansheng Lei
, Srinivas Palla
, Venu Govindaraju

Research and Economic Development

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

40 Scopus citations

Abstract

ER² (Extended R-squared) is proposed as a similarity measure for on-line signature verification. SLR (Simple Linear Regression) defines R ² 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.

Original language	English
Title of host publication	Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004
Editors	F. Kimura, H. Fujisawa
Pages	191-195
Number of pages	5
DOIs	https://doi.org/10.1109/IWFHR.2004.38
State	Published - 2004
Event	Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004 - Tokyo, Japan Duration: Oct 26 2004 → Oct 29 2004

Publication series

Name	Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
ISSN (Print)	1550-5235

Conference

Conference	Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004
Country/Territory	Japan
City	Tokyo
Period	10/26/04 → 10/29/04

Access to Document

10.1109/IWFHR.2004.38

Cite this

Lei, H., Palla, S., & Govindaraju, V. (2004). ER²: An intuitive similarity measure for on-line signature verification. In F. Kimura, & H. Fujisawa (Eds.), Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004 (pp. 191-195). (Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR). https://doi.org/10.1109/IWFHR.2004.38

@inproceedings{7b77b7e9a1004287b195d545f2619643,

title = "ER2: An intuitive similarity measure for on-line signature verification",

abstract = "ER2 (Extended R-squared) is proposed as a similarity measure for on-line signature verification. SLR (Simple Linear Regression) defines R 2 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.",

author = "Hansheng Lei and Srinivas Palla and Venu Govindaraju",

year = "2004",

doi = "10.1109/IWFHR.2004.38",

language = "English",

isbn = "0769521878",

series = "Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR",

pages = "191--195",

editor = "F. Kimura and H. Fujisawa",

booktitle = "Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004",

note = "Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004 ; Conference date: 26-10-2004 Through 29-10-2004",

}

Lei, H, Palla, S & Govindaraju, V 2004, ER²: An intuitive similarity measure for on-line signature verification. in F Kimura & H Fujisawa (eds), Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004. Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR, pp. 191-195, Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004, Tokyo, Japan, 10/26/04. https://doi.org/10.1109/IWFHR.2004.38

ER²: An intuitive similarity measure for on-line signature verification. / Lei, Hansheng; Palla, Srinivas; Govindaraju, Venu.
Proceedings - Ninth International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 2004. ed. / F. Kimura; H. Fujisawa. 2004. p. 191-195 (Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Palla, Srinivas

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N2 - ER2 (Extended R-squared) is proposed as a similarity measure for on-line signature verification. SLR (Simple Linear Regression) defines R 2 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.

AB - ER2 (Extended R-squared) is proposed as a similarity measure for on-line signature verification. SLR (Simple Linear Regression) defines R 2 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.

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DO - 10.1109/IWFHR.2004.38

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