Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features

Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features Publisher

Foroozandeh A¹ ; Hemmat AA² ; Rabbani H³

Show Affiliations

1. Graduate University of Advanced Technology, Department of Applied Mathematics, Kerman, Iran
2. Shahid Bahonar University of Kerman, Department of Applied Mathematics, Kerman, Iran
3. Isfahan University of Medical Sciences, Department of Biomedical Engineering, Isfahan, Iran

Source: Iranian Conference on Machine Vision and Image Processing, MVIP Published:2020

Abstract

Handwriting signatures are widely used to register ownership in banking systems, administrative and financial applications, all over the world. With the increasing advancement of technology, increasing the volume of financial transactions, and the possibility of signature fraud, it is necessary to develop more accurate, convenient, and cost effective signature based authentication systems. In this paper, a signature verification method based on circlet transform and the statistical properties of the circlet coefficients is presented. Experiments have been conducted using three benchmark datasets: GPDS synthetic and MCYT-75 as two Latin signature datasets, and UTSig as a Persian signature dataset. Obtained experimental results, in comparison with literature, confirm the effectiveness of the presented method. © 2020 IEEE.

Related Docs

1. Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition, Sahand Communications in Mathematical Analysis (2020)

2. Offline Handwritten Signature Verification and Recognition Based on Deep Transfer Learning, Iranian Conference on Machine Vision and Image Processing, MVIP (2020)

3. Online Handwritten Signature Verification and Recognition Based on Dual-Tree Complex Wavelet Packet Transform, Journal of Medical Signals and Sensors (2020)

4. Circlet Based Framework for Optic Disk Detection, Proceedings - International Conference on Image Processing, ICIP (2017)

5. The Ellipselet Transform, Journal of Medical Signals and Sensors (2019)

6. Circlet Transform in Cell and Tissue Microscopy, Optics and Laser Technology (2020)

7. Automatic Brain Aneurysm Extraction in Angiography Videos Using Circlet Transform and a Modified Level Set Model, Current Medical Imaging Reviews (2018)

Experts (# of related papers)

View all Related Experts

Hossein Rabbani (7)

Alireza Mehri-Dehnavi (3)

Style	Citing Format
MLA	Foroozandeh A, Hemmat AA, Rabbani H. "Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features." Iranian Conference on Machine Vision and Image Processing, MVIP, vol. 2020-February, no. , 2020, pp. -.
APA	Foroozandeh A, Hemmat AA, Rabbani H (2020). Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features. Iranian Conference on Machine Vision and Image Processing, MVIP, 2020-February(), -.
Chicago	Foroozandeh A, Hemmat AA, Rabbani H. "Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features." Iranian Conference on Machine Vision and Image Processing, MVIP 2020-February, no. (2020): -.
Harvard	Foroozandeh A, Hemmat AA, Rabbani H (2020) 'Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features', Iranian Conference on Machine Vision and Image Processing, MVIP, 2020-February(), pp. -.
Vancouver	Foroozandeh A, Hemmat AA, Rabbani H. Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features. Iranian Conference on Machine Vision and Image Processing, MVIP. 2020;2020-February():-.
BibTex	@article{ author = {Foroozandeh A and Hemmat AA and Rabbani H}, title = {Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features}, journal = {Iranian Conference on Machine Vision and Image Processing, MVIP}, volume = {2020-February}, number = {}, pages = {-}, year = {2020} }
RIS	TY - JOUR AU - Foroozandeh A AU - Hemmat AA AU - Rabbani H TI - Offline Handwritten Signature Verification Based on Circlet Transform and Statistical Features JO - Iranian Conference on Machine Vision and Image Processing, MVIP VL - 2020-February IS - SP - EP - PY - 2020 ER -

Science Communicator Platform

Authors

Authors Affiliations

Abstract