On-line Handwriting Signature Verification Based on Using Extreme Points Extraction

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 26 Aug 2016Publisher:Engineering, Technology & Applied Science ResearchJournal:Engineering, Technology & Applied Science Research, volume 6, pages 1,084-1,088 (issn: 2241-4487, eissn: 1792-8036,

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Authors: Zneit, R. S. A.;

doi: 10.48084/etasr.694 , 10.60692/tt68b-xjc69 , 10.60692/m3nsv-5ej66 , 10.5281/zenodo.60986

On-line Handwriting Signature Verification Based on Using Extreme Points Extraction

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Abstract

This paper presents a method for on-line Handwriting Signature Verification (HSV) using Extreme Points Matching (EPM). EPM does not use direct computation of curve’s curvature thus it does not expect smoothness in the analyzing process of the trajectory. In the proposed method the curve’s form is described by a small set of extreme points and the method thus seems more precise. Furthermore, it provides an effective preprocessing of the curve and can be utilized in one-to-many pattern matching in a restricted access systems.

Related Organizations

Al-Balqa` Applied University
Jordan

Keywords

Handwriting recognition, Handwriting, Artificial intelligence, Line (geometry), Audio Signal Classification and Analysis, Geometry, Set (abstract data type), Extreme point, Handwriting Recognition and Text Detection, Pattern recognition (psychology), Mathematical analysis, hand writing, Shot Boundary Detection, FOS: Mathematics, extreme points, Signature Verification, Preprocessor, Signature (topology), Text Detection, Curvature, On-line signature verification, HSV, Statistics, Key Frame Extraction, Automatic Video Summarization and Analysis, Computer science, Smoothness, Process (computing), Programming language, Algorithm, Operating system, Combinatorics, trajectory, curvature, Computer Science, Physical Sciences, Signal Processing, Matching (statistics), Computation, Feature extraction, Computer Vision and Pattern Recognition, Mathematics, Handwriting Recognition

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