25.4.6.4.3 Signature Recognition, Surveys, Analysis, Comparisons

Chapter Contents (Back)
Survey, Signature. Signatures. Signature Recognition.

Nemcek, W.F., Lin, W.C.,
Experimental Investigation of Automatic Signature Verification,
SMC(4), 1974, pp. 121-126. BibRef 7400

Nagel, R.N., Rosenfeld, A.,
Automatic Signature Verification,
TC(26), 1977, pp. 895-905. BibRef 7700

Yasuhara, M., Oka, M.,
Signature Verification Experiment Based on Nonlinear Time Alignment: A Feasibility Study,
SMC(7), 1977, 212-216. BibRef 7700

Plamondon, R.[Réjean], Lorette, G.[Guy],
Automatic Signature Verification and Writer Identification: The State of the Art,
PR(22), No. 2, 1989, pp. 107-131.
Elsevier DOI 0309
Survey, Signature. BibRef

Sabourin, R., Plamondon, R.[Réjean], Lorette, G.[Guy],
Off-line Identification with Handwritten Signature Images: Survey and Perspectives,
SDIA92(xx-yy). 0905
BibRef

Plamondon, R., (Ed.)
Special Issue on Automatic Signature Verification,
PRAI(8), No. 3, June 1994, pp. 641-811. BibRef 9406

Le Clerc, F., and Plamondon, R.,
Automatic Signature Verification: The State of the Art,
PRAI(8), No. 3, 1994, pp. 643-660. BibRef 9400

Parizeau, M., Plamondon, R.,
A Fuzzy-Syntactic Approach to Allograph Modeling for Cursive Script Recognition,
PAMI(17), No. 7, July 1995, pp. 702-712.
IEEE DOI BibRef 9507
Earlier:
A handwriting model for syntactic recognition of cursive script,
ICPR92(II:308-312).
IEEE DOI 9208
Recognition rates between about 85 and 90%. Extract features (allograph) for letter recognition. Random letter sequences. BibRef

Parizeau, M., and Plamondon, R.,
A Comparative Analysis of Regional Correlation, Dynamic Time Warping, and Skeletal Tree Matching for Signature Verification,
PAMI(12), No. 7, July 1990, pp. 710-717.
IEEE DOI BibRef 9007
Earlier:
Signature Verification from Position, Velocity and Acceleration Signals: A Comparative Study,
ICPR88(I: 260-265).
IEEE DOI BibRef

Esch, J.,
Prolog to Automatic Online Signature Verification,
PIEEE(85), No. 2, February 1997, pp. 213-214. 9703
BibRef

Nalwa, V.S.,
Automatic Online Signature Verification,
PIEEE(85), No. 2, February 1997, pp. 215-239. 9703
BibRef

Fairhurst, M.C., and Brittan, P.,
An Evaluation of Parallel Strategies for Feture Vector Construction in Automatic Signature Verification Systems,
PRAI(8), No. 3, 1994, pp. 661-678. BibRef 9400
Earlier:
A parallel approach to individually optimised handwritten signature verification,
ICPR92(II:685-688).
IEEE DOI 9208
BibRef

Fairhurst, M.C.,
Signature Verification Revisited: Promoting Practical Exploitation of Biometric Technology,
ECEJ(9), No. 6, December 1997, pp. 273-280. 9801
BibRef

Rabasse, C., Guest, R.M., Fairhurst, M.C.,
A New Method for the Synthesis of Signature Data With Natural Variability,
SMC-B(37), No. 3, June 2007, pp. 691-699.
IEEE DOI 0711
BibRef
Earlier:
A Method for the Synthesis of Dynamic Biometric Signature Data,
ICDAR07(168-172).
IEEE DOI 0709
BibRef

Justino, E.J.R.[Edson J.R.], Bortolozzi, F.[Flávio], Sabourin, R.[Robert],
A comparison of SVM and HMM classifiers in the off-line signature verification,
PRL(26), No. 9, 1 July 2005, pp. 1377-1385.
Elsevier DOI 0506
BibRef
Earlier:
Off-line signature verification using HMM for random, simple and skilled forgeries,
ICDAR01(1031-1034).
IEEE DOI 0109
BibRef

Pirlo, G.[Giuseppe], Rizzi, F.[Fabrizio], Vacca, A.[Annalisa], Impedovo, D.[Donato],
Interoperability of Biometric Systems: Analysis of Geometric Characteristics of Handwritten Signatures,
ISCA15(242-249).
Springer DOI 1511
BibRef

Pirlo, G.[Giuseppe], Diaz, M.[Moises], Ferrer, M.A.[Miguel Angel], Impedovo, D.[Donato], Occhionero, F.[Fabrizio], Zurlo, U.[Urbano],
Early Diagnosis of Neurodegenerative Diseases by Handwritten Signature Analysis,
ISCA15(290-297).
Springer DOI 1511
BibRef

Hen-Herbst, L.[Liat], Rosenblum, S.[Sara],
Which characteristics predict writing capabilities among adolescents with dysgraphia?,
PRL(121), 2019, pp. 6-12.
Elsevier DOI 1904
Handwriting, Writing, Adolescents, Dysgraphia, Executive functions, Functional-Developmental abilities BibRef


Morocho, D.[Derlin], Proaño, M.[Mariela], Alulema, D.[Darwin], Morales, A.[Aythami], Fierrez, J.[Julian],
Signature Recognition: Human Performance Analysis vs. Automatic System and Feature Extraction via Crowdsourcing,
MCPR16(324-334).
Springer DOI 1608
BibRef

Blankers, V.L.[Vivian L.], van den Heuvel, C.E.[C. Elisa], Franke, K.Y.[Katrin Y.], Vuurpijl, L.G.[Louis G.],
ICDAR 2009 Signature Verification Competition,
ICDAR09(1403-1407).
IEEE DOI 0907
BibRef

Yeung, D.Y.[Dit-Yan], Chang, H.[Hong], Xiong, Y.M.[Yi-Min], George, S.[Susan], Kashi, R.[Ramanujan], Matsumoto, T.[Takashi], Rigoll, G.[Gerhard],
SVC2004: First International Signature Verification Competition,
ICBA04(16-22).
Springer DOI 0505
BibRef

Kashi, R., Nelson, W.,
Signature verification: benefits of multiple tries,
FHR02(424-427).
IEEE Top Reference. 0209
BibRef

Lee, W.S.[Wan-Suck], Mohankrishnan, N., Paulik, M.J.,
Improved segmentation through dynamic time warping for signature verification using a neural network classifier,
ICIP98(II: 929-933).
IEEE DOI 9810
BibRef

Mohankrishnan, N., Lee, W.S.[Wan-Suck], Paulik, M.J.[Mark J.],
A Performance Evaluation of a New Signature Verification Algorithm Using Realistic Forgeries,
ICIP99(I:575-579).
IEEE DOI BibRef 9900

Ammar, M.,
Elimination of skilled forgeries in off-line systems: a breakthrough,
ICPR92(II:415-418).
IEEE DOI 9208
BibRef

Chapter on OCR, Document Analysis and Character Recognition Systems continues in
Arabic Numbers, Digits, Handwritten, Numeral Recognition .


Last update:Mar 16, 2024 at 20:36:19