Subject Authentication using Time-Frequency Image Textural Features
| Autor: | Turky N. Alotaiby, Gaseb Alotibi, Saleh A. Alshebeili |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Authentication Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology Image segmentation Facial recognition system Time–frequency analysis Random forest 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Identity (object-oriented programming) 020201 artificial intelligence & image processing Artificial intelligence business Classifier (UML) Continuous wavelet transform |
| Zdroj: | ICAIIC |
| Popis: | The growing internet-based services such as banking and shopping have brought both ease to human’s lives and challenges in user identity authentication. Different methods have been investigated for user authentication such as retina, finger print, and face recognition. This study introduces a photoplethysmogram (PPG) based user identity authentication relying on textural features extracted from time-frequency image. The PPG signal is segmented into segments and each segment is transformed into time-frequency domain using continuous wavelet transform (CWT). Then, the textural features are extracted from the time-frequency images using Haralick’s method. Finally, a classifier is employed for identity authentication purposes. The proposed system achieved an average accuracy of 99.14% and 99.9% with segment lengths of one and tweeny seconds, respectively, using random forest classifier. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|