Photoplethysmographic authentication through fuzzy logic

This paper presents a fuzzy logic approach to investigate the feasibility of using photoplethysmographic (PPG) signals as a new method for human verification. PPG signals were obtained from the fingertip with a group of seventeen healthy subjects, and four distinctive features extracted were used as the fuzzy inputs for classification. The successful rate of the fuzzy-based decision-making can reach up to 94% within the same trial, and 82.3% with two different trials. The result indicates that the new biometrics based on PPG signals is potentially applicable for human verification. This study is an addendum to our work carried out earlier.

[1]  Yuan-Ting Zhang,et al.  A novel biometric approach in human verification by photoplethysmographic signals , 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

[2]  L. Benedicenti,et al.  The electroencephalogram as a biometric , 2001, Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555).

[3]  Jin Ok Kim,et al.  On a lip print recognition by the pattern kernels with multiresolution architecture , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[4]  L. Biel,et al.  ECG analysis: a new approach in human identification , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[5]  P. L. Venetianer,et al.  An Iris Biometric System for Public and Personal Use , 2000, Computer.

[6]  Roberto Brunelli,et al.  Face Recognition: Features Versus Templates , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Alan Murray,et al.  Comparison of regional variability in multi-site photoplethysmographic pulse wave characteristics , 2000 .

[8]  Jan H. P. Eloff,et al.  Enhanced Password Authentication through Fuzzy Logic , 1997, IEEE Expert.