Title :
A novel fingerprint image encryption algorithm based on chaos using APFM nonlinear adaptive filter
Author :
Hung-I Hsiao ; Junghsi Lee
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Chungli, Taiwan
Abstract :
A novel encryption method for promoting fingerprint image security employing chaotic amplitude phase frequency model (APFM) nonlinear adaptive filter is proposed. Our encryption algorithm can successfully pass the NIST SP 800-22a tests. The proposed encryption scheme shows fine cryptographic properties on randomness.
Keywords :
adaptive filters; chaos; cryptography; fingerprint identification; nonlinear filters; NIST SP 800-22a test; amplitude phase frequency model; chaos; chaotic APFM nonlinear adaptive filter; fingerprint image encryption algorithm; fingerprint image security; Adaptive filters; Chaos; Ciphers; Encryption; Fingerprint recognition; Image matching;
Conference_Titel :
Consumer Electronics (ISCE), 2013 IEEE 17th International Symposium on
Conference_Location :
Hsinchu
Print_ISBN :
978-1-4673-6198-9
DOI :
10.1109/ISCE.2013.6570271
