A Circular Grid-Based Rotation Invariant Feature Extraction Approach for Off-line Signature Verification
One of the main challenges in off-line signature verification systems is to make them robust against rotation of the signatures. A new technique for rotation invariant feature extraction based on a circular grid is proposed in this paper. Graphometric features for the circular grid are defined by adapting similar features available for rectangular grids, and the property of rotation invariance of the Discrete Fourier Transform (DFT) is used in order to achieve robustness against rotation. A Support Vector Machine (SVM) based classifier scheme is used for classification tasks. Experimental results on a public database show that the proposed verification system has a performance comparable to similar state-of-theart signature verification systems with the additional advantage of being robust against rotation of the signatures.
Marianela Parodi Juan C.Gómez Abdel Belaid
Laboratory for System Dynamics and Signal Processing FCEIA, Universidad Nacional de Rosario CIFASIS, LORIA, Campus Scientifique, B.P.236, Vandoeuvre-Lès-Nancy, France
国际会议
北京
英文
1289-1293
2011-09-01（万方平台首次上网日期，不代表论文的发表时间）