• PDF / 3,772,703 Bytes
• 26 Pages / 439.37 x 666.142 pts Page_size
• 84 Downloads / 221 Views

DOWNLOAD

REPORT

---

Implementation face based cancelable multi-biometric system H. I. Ashiba 1

& F. E. Abd El-Samie

2

Received: 6 July 2019 / Revised: 3 July 2020 / Accepted: 4 August 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020

Abstract

This paper suggests novel two proposed cancellable biometric realization techniques recognition and template protection. In this paper, the Homomorphic Key (HK) encoding algorithm is utilized for cancelable face system. In the first suggested scheme, the HK algorithm is applied on the face images. The resultant map is encrypted, in order to the second HK utilized in the HK is produced from the image. This approach can be used to develop a frequency domain procedure for making this system for biometric template protection. The second algorithm presents a new approach to detect the features of face images depending the Speeded Up Robust Features (SURF) and Optimum Global Thresholding (OTSU) method. This algorithm is relied on scale space analysis with the number of SURF feature points as the key parameters for classification. Simulation results using evaluation metrics False Positive Rate (FPR), False Negative Rate (FNR), Equal Error Rate (EER), Receiver Operating Characteristic (ROC) and Area under ROC (AROC) prove that the first proposed cancelable biometric technique with the second key are best with comparing the other keys. The obtained results clear that the second suggested technique has sucesseded in detection the features of the skin, eyes, nose, hair, ears images and the face positions. Keywords Biometrics . Cancelable biometric templates . Homomorphic approach . Template protection . SURF

* H. I. Ashiba [email protected]

1

Department of Electronics and Electrical Communications, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt

2

Department of Electronics and Electrical Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt

Multimedia Tools and Applications

1 Introduction Biometrics is broadly described the art of recognizing an individual or person based on his behavioral or their physical qualities which is established for gaining acceptance to as a justifiable method for the purpose of an identity of individuals [1, 4] . This system is largely implemented in the field of various forensic, civilian and commercial applications with the intention of launching identity in the cybernetics, computational intelligence and human machine systems and computational intelligence [11, 20]. Biometrics is defined as automatic recognition of persons dependent on their physical or conduct attributes. The most used biometrics is fingerprints, faces, iris, and speech signals. Since biometric properties are implicitly associated with the person, they provide strong evidence of their identity [22]. The fundamental thought of operation of biometric systems is to collect the biometrics from some authorized persons, extract discriminating features from the biometrics as a tool for data reduction, and store these features i