Due to the great advances in biomedical digital signal processing, new biometric traits have showed noticeable improvements in authentication systems. Recently, the ElectroCardioGram (ECG) and the PhonoCardioGraph (PCG) have been proposed as novel biometrics. This paper aims to review the previous studies related to the usage of the ECG and PCG signals in human recognition. In addition, we discuss briefly the most important techniques and methodologies used by researchers in the preprocessing, feature extraction and classification of the ECG and PCG signals. At the end, we introduce some future considerations that can be applied in this topic such as: the fusion between different techniques previously used, use both ECG and PCG signals in a multimodal biometric authentication system and building a prototype system for real-time authentication.
المشارك في البحث
قسم البحث
سنة البحث
2014
مجلة البحث
Signal, Image and Video Processing
الناشر
Springer
عدد البحث
vol.8, no. 4
تصنيف البحث
1
صفحات البحث
pp. 739-751
موقع البحث
NULL
ملخص البحث