학술논문

Simple signature verification sub-system for identity recognition
Document Type
Conference
Source
2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA) Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017 IEEE International Conference on. :94-98 Jun, 2017
Subject
Computing and Processing
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Feature extraction
Support vector machines
Training
Handwriting recognition
Databases
Chemicals
Tools
Signature Verification
Personal Identification
Local Binary Pattern
Support Vector Machine
Language
ISSN
2377-9322
Abstract
The paper proposes a simple, low-cost signature verification approach and software that can be employed as one of the components of a more sophisticated personal identification system. The identification is based on the use of local binary pattern features of a signature image. The Support Vector Machine (SVM) model is chosen to classify the authentic signatures from their imitations.