Biometric Images encryption based on 3D chaotic system
Software: Programming language
1. To describe a new and efficient biometric image encryption algorithm based on the 3D chaotic system.
2. The experiments should be implemented on different biometric images, for examples of body traits that can be used for biometric recognition. Anatomical traits include the face, fingerprint, iris, palmprint, hand geometry, and ear shape, while gait, signature and keystroke dynamics are some of the behavioral characteristics. Voice can be considered either as an anatomical or as a behavioral characteristic
3. A comparative study is needed.
4. The merits of the proposed algorithm are:
• efficient and secure key exchange,
• the Lyapunov exponents of the three chaotic systems
• input image dependent SHA based key generation,
• reduced iterations in a chaotic sequence generated using base conversion
• scrambled operation helps to further increase the security and improve the quality of deciphering a decompressed image under occlusion attack.
5. Encryption and decryption algorithm in detail
6. The merits of the simulation and analysis of the proposed scheme are:
• Correlation analysts,
• Key space and key sensitivity analysis,
• Compression ratio, Histogram analysis,
• Differential attack,
• Avalanche effect,
• Entropy,
• PSNR and SSIM,
• Occlusion attack,
• Randomness test,
• Comparison with other algorithms,
• Execution speed
7. The advantage of the proposed algorithm is that the retrieved image at the receiver end is exactcgoly the same as the original image
