Title :
Feature Based Encryption Technique for Securing Forensic Biometric Image Data Using AES and Visual Cryptography
Author :
Kester, Quist-Aphetsi ; Nana, Laurent ; Pascu, Anca Christine ; Gire, Sophie ; Eghan, J.M. ; Quaynor, Nii Narku
Author_Institution :
Fac. of Inf., Ghana Technol. Univ. Coll., Accra, Ghana
Abstract :
With the current emergence of biometric image data applications on devices such as smart phones, security cameras, personal computers etc, there is a need for securing the image templates obtained from crime scenes as well as such devices before storing them in locations such as the cloud etc. In this paper, we proposed an encryption technique of securing the biometric image data collected from devices with an approach of feature based encryption technique. The biometric image data was encrypted using advanced encryption process and visual cryptography method. The method engaged the encrypted feature extracted from the plain image in the encryption process and used in to encrypt the image based on a visual cryptographic technique. Analysis of the plain and ciphered image was done and there was no pixel expansion in the process. The implementation was done using MATLAB.
Keywords :
biometrics (access control); cryptography; image forensics; image processing; AES; crime scenes; feature based encryption technique; forensic biometric image data; image templates; visual cryptography method; Biomedical imaging; Ciphers; Encryption; Entropy; Feature extraction; Visualization; cryptography ; AES; biometric image; visual cryptography;
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-7599-0
DOI :
10.1109/AIMS.2014.65