Offline geometric parameters for automatic signature verification using fixed-point arithmetic.
This paper presents a set of geometric signature features for offline automatic signature verification based on the description of the signature envelope and the interior stroke distribution in polar and Cartesian coordinates. The features have been calculated using 16 bits fixed-point arithmetic and tested with different classifiers, such as hidden Markov models, support vector machines, and Euclidean distance classifier. The experiments have shown promising results in the task of discriminating random and simple forgeries.
Ferrer
Miguel A
MA
Departamento de Señales y Comunicaciones, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, E35017 Las Palmas de Gran Canaria, Spain. mferrer@dsc.ulpgc.es
Alonso
Jesús B
JB
Travieso
Carlos M
CM
D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D001330:Electronic Data Processing / Q000379:methods*; D006236:Handwriting; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D011932:Reading; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014584:User-Computer Interface