Grid-based feature distributions for off-line signature verification

• Published in: IET biometrics Vol. 1; no. 1; pp. 72 - 81
• Main Authors: TSELIOS, K, ZOIS, E. N, SIORES, E, NASSIOPOULOS, A, ECONOMOU, G
• Format: Journal Article
• Language: English
• Published: Stevenage Institution of Engineering and Technology 01.03.2012; John Wiley & Sons, Inc
• Subjects: Algorithms; Applied sciences; Classification; Cryptography; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Feature extraction; Information, signal and communications theory; Pattern recognition; Pixels; Representations; Signal and communications theory; Signal processing; Signal representation. Spectral analysis; Signal, noise; Signatures; Similarity; Telecommunications and information theory; Zoning; Performance evaluation; Discriminant analysis; Automatic classification; Dimensionality; Similarity; Error rate; Support vector machine; Pattern recognition; Algorithm; Signal classification; Implementation; Handwriting recognition; Authentication; Signal processing; Feature extraction; Off line; Handwritten character recognition; Manuscript character

In this work, a feature extraction method is presented for handwritten signature verification. The proposed algorithm models the handwritten elements of a signature trace by probabilistically counting the distribution of fixed two- and three-step pixel paths, conditioned that they are confined withi...