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.
WWW Version. 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

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

Leclerc, 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 Link BibRef 9507
A handwriting model for syntactic recognition of cursive script,
IEEE DOI Link 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 Link BibRef 9007
Signature Verification from Position, Velocity and Acceleration Signals: A Comparative Study,
ICPR88(I: 260-265).
IEEE DOI Link BibRef

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

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

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
A parallel approach to individually optimised handwritten signature verification,
IEEE DOI Link 9208

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

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 Link 0711
A Method for the Synthesis of Dynamic Biometric Signature Data,
IEEE DOI Link 0709

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.
WWW Version. 0506
Off-line signature verification using HMM for random, simple and skilled forgeries,
IEEE DOI Link 0109

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,
IEEE DOI Link 0907

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,
WWW Version. 0505

Kashi, R., Nelson, W.,
Signature verification: benefits of multiple tries,
IEEE Top Reference. 0209

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 Link 9810

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

Ammar, M.,
Elimination of skilled forgeries in off-line systems: a breakthrough,
IEEE DOI Link 9208

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

Last update:Nov 18, 2014 at 16:40:01