Towards an Evolution Strategy Approach in Binary Image Registration for Solving Digital Signature Recognition Tasks

Catalina Cocianu, Alexandru Stan

2018

Abstract

This paper focuses on the development of an image registration methodology for digital signature recognition. We consider two perturbation models, namely the rigid transformation and a mixture of shear and rigid deformation. The proposed methodology involves three stages. In the first stage, both the acquired image and the stored one are binarized to reduce the computational effort. Then an evolution strategy (ES) is applied to register the obtained binary images. The quality of each chromosome belonging to a certain population is evaluated in terms of mutual information-based fitness function. In order to speed up the computation of fitness values, we propose a computation strategy based on the binary representation of images and the sparsity of the image matrices. Finally, we evaluate the registration capabilities of the proposed methodology by means of quantitative measures as well as qualitative indicators. The experimental results and some conclusions concerning the capabilities of various methods derived from the proposed methodology are reported in the final section of the paper.

Paper Citation

in Harvard Style

Cocianu C. and Stan A. (2018). Towards an Evolution Strategy Approach in Binary Image Registration for Solving Digital Signature Recognition Tasks.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 469-476. DOI: 10.5220/0006789504690476

in Bibtex Style

@conference{iceis18,
author={Catalina Cocianu and Alexandru Stan},
title={Towards an Evolution Strategy Approach in Binary Image Registration for Solving Digital Signature Recognition Tasks},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={469-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006789504690476},
isbn={978-989-758-298-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Towards an Evolution Strategy Approach in Binary Image Registration for Solving Digital Signature Recognition Tasks
SN - 978-989-758-298-1
AU - Cocianu C.
AU - Stan A.
PY - 2018
SP - 469
EP - 476
DO - 10.5220/0006789504690476