The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters
Yasmine GuerbaiSpeech Communication and Signal Processing Laboratory, Faculty of Electronics and Computer Science, University of Science and Technology Houari Boumédiene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, AlgeriaYoucef ChibaniSpeech Communication and Signal Processing Laboratory, Faculty of Electronics and Computer Science, University of Science and Technology Houari Boumédiene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, AlgeriaBilal HadjadjiSpeech Communication and Signal Processing Laboratory, Faculty of Electronics and Computer Science, University of Science and Technology Houari Boumédiene (USTHB), 32, El Alia, Bab Ezzouar, 16111 Algiers, Algeria
2014en
ABI
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