Offline handwritten signature identification using adaptive window positioning techniques

07/10/2014
by   Ghazali Sulong, et al.
0

The paper presents to address this challenge, we have proposed the use of Adaptive Window Positioning technique which focuses on not just the meaning of the handwritten signature but also on the individuality of the writer. This innovative technique divides the handwritten signature into 13 small windows of size nxn(13x13).This size should be large enough to contain ample information about the style of the author and small enough to ensure a good identification performance.The process was tested with a GPDS data set containing 4870 signature samples from 90 different writers by comparing the robust features of the test signature with that of the user signature using an appropriate classifier. Experimental results reveal that adaptive window positioning technique proved to be the efficient and reliable method for accurate signature feature extraction for the identification of offline handwritten signatures.The contribution of this technique can be used to detect signatures signed under emotional duress.

READ FULL TEXT

page 8

page 9

page 13

research
04/11/2011

Off-Line Handwritten Signature Retrieval using Curvelet Transforms

In this paper, a new method for offline handwritten signature retrieval ...
research
04/30/2018

Non-Intrusive Signature Extraction for Major Residential Loads

The data collected by smart meters contain a lot of useful information. ...
research
03/17/2011

Off-Line Handwritten Signature Identification Using Rotated Complex Wavelet Filters

In this paper, a new method for handwritten signature identification bas...
research
10/13/2020

Intrapersonal Parameter Optimization for Offline Handwritten Signature Augmentation

Usually, in a real-world scenario, few signature samples are available t...
research
08/18/2014

Offline Signature-Based Fuzzy Vault (OSFV: Review and New Results

An offline signature-based fuzzy vault (OSFV) is a bio-cryptographic imp...
research
05/03/2019

Offline Writer Identification based on the Path Signature Feature

In this paper, we propose a novel set of features for offline writer ide...

Please sign up or login with your details

Forgot password? Click here to reset