Optimal feature selection and inter-operability compensation for on-line biometric signature authentication

Abstract

Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: AbstractDue to the technological evolution and the increasing popularity of smartphones, people can access an application with many different devices. This device interoperability is a very challenging problem for biometrics. In this paper we focus on inter-operability device compensation for on-line signature verification. The proposed approach is based on two main stages. The first one is a preprocessing stage where data acquired from different devices are processed in order to normalize the signals in similar ranges. The second one is based on a feature selection of time functions taking into account the inter-operability device comparisons in order to select features which are robust in these conditions. The experimental work has been carried out with Biosecure database using a Wacom tablet (DS2) and a PDA tablet (DS3), and the system developed is based on dynamic time warping (DTW) elastic measure over the selected time functions. The performance of the proposed system is very similar compared to an ideal system. Also, the proposed approach provides average relative improvements for the cases of inter-operability comparisons of 26.5% for random forgeries and, around 14.2% for the case of skilled forgeries comparing the results with the case of having a system specifically tuned for each device, proving the robustness of the proposed approach. These results open the door for future works using devices as smartphones or tablets, commonly used nowadays.

Dynamic signatures: A review of dynamic feature variation and forensic methodology

“…Additionally, forensic science has gained insight from the findings in biometrics, with several authors developing movement-modeling techniques [60][61][62][63][64] to represent handwriting movement. There has been a research effort towards descriptor development and feature selection in dynamic signatures [9,10,[147][148][149][150] or adapting automated comparison systems to forensic purposes [151][152][153][154]. Furthermore, the criticism has led forensic scientists to provide evidence for expert opinion reliability [155][156][157][158][159][160], to reconsider the identification and unicity paradigms [161,162] and to publish their methods [76] and best practices [163,164].…”

“…Other problems such as device interoperability [121,148,149,[170][171][172] and measurement compatibility [38,169] have come to researchers' attention and have been studied. Some other publications are focusing on feature selection, reliability and data treatment for forensic examiners [34,37,173,174].…”

“…Some other publications are focusing on feature selection, reliability and data treatment for forensic examiners [34,37,173,174]. Articles of more technical nature treat device interoperability and verification performances [121,148,149,172] on different devices and conditions. Data quality and examination reproducibility are increasingly important to researchers and practitioners.…”

Preprocessing and Feature Selection for Improved Sensor Interoperability in Online Biometric Signature Verification

“…To the best of our knowledge, there are very few works focused on the problem of device interoperability for dynamic signature recognition [17]- [19]. In [17], device interoperability is studied employing signatures coming from two different tablet PCs under an access control scenario.…”

“…Very recently, in our previous work [19], we proposed a time functions-based system approach specifically designed to improve the device interoperability problem in dynamic signature recognition. This approach achieved an average relative performance improvement of 26.5% for random forgeries and 14.2% for skilled forgeries, comparing the results with the case of having a system specifically adjusted for each device.…”