New Histogram-based Descriptor for Off-Line Handwritten Signature Verification
Yasmine Serdouk, Hassiba Nemmour, Youcef Chibani · 2018
A new Histogram Of Templates (HOT) feature describing stroke orientations in handwritten signatures is proposed. Several predefined templates are used to model all possible orientations of handwritten strokes. A comparison between these templates and handwritten strokes is evaluated through a sliding window that considers a central pixel with two neighboring pixels. Presently, a quad-tree partitioning according to the center of gravity is applied to allow a local calculation of HOT. The verification task is achieved by SVM classifier. Experiments are conducted on the well-known CEDAR and MCYT-75 databases. The comparison with the state-of-the-art highlights the effectiveness of the proposed feature.