S. CheepcholW. San-UmS. KiattisinA. LeelasantithamThai-Nichi Institute of TechnologyMahidol University2018-11-092018-11-092014-01-01JICTEE 2014 - 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering. (2014)2-s2.0-84901044761https://repository.li.mahidol.ac.th/handle/20.500.14594/33879This paper presents the digital image encryption scheme for biometric facial image using Cellular Automata (CA) for secure image storage. The proposed scheme is relatively simple using a segmentation of CA binary image with embedded secret keys generated by the third class of well-known Wolfram Cellular Automata that exhibits chaotic patterns. Such segmented CA binary image is diffused to the shuffled and bit-plane separated of the original biometric facial image through to XOR operations. Experiments have been performed in MATLAB using a standard digital biometric facial image with the size of 160×160 pixels. Encryption qualitative performances are evaluated through pixel density histograms, 2-dimensional power spectral density, and vertical, horizontal, and diagonal correlation plots. For the encryption quantitative measures, correlation coefficients, entropy, NPCR and UACI are realized. Demonstrations of wrong-key decrypted image are also included. The proposed encryption scheme offers a potential alternative to digital biometric facial image storage in a various applications such as in border security control, payment system, or in crime prevention, detection, and forensics. © 2014 IEEE.Mahidol UniversityEngineeringConference PaperSCOPUS10.1109/JICTEE.2014.6804084