ECG Biometric Verification by using PCA

ECG Biometric Verification by using PCA

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-65 Number-1
Year of Publication : 2018
Authors : Dr.Jameel Kadhim Abed, Nahrain N. Abd
DOI :  10.14445/22315381/IJETT-V65P202

Citation 

MLA Style: Dr.Jameel Kadhim Abed, Nahrain N. Abd "ECG Biometric Verification by using PCA" International Journal of Engineering Trends and Technology 65.1 (2018): 4-8.

APA Style:Dr.Jameel Kadhim Abed, Nahrain N. Abd (2018). ECG Biometric Verification by using PCA. International Journal of Engineering Trends and Technology, 65(1), 4-8.

Abstract
Identity verification faces several challenges, mainly in extracting unique features of individual biometric methods and classifications. For example, the forms of electric waves of the heart characterized by unique characteristics of human recognition and its reference are not periodic at ready, in order to generate a distinct set of ECG methods, which are used autocorrelation (AC) development in conjunction with dimension reduction methods. This writing paper suggests a new non-fiducial frame for an ECG biometric recognition using (PCA) to the reduction both of the dimensions high- vector autocorrelation vector and the verification system after noise removal of 8 individuals use Discrete Wavelet Transform (DWT).

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Keywords
Electro Cardio Gram (ECG) biometric recognition, Discrete Wavelet Transform (DWT), non-fiducial feature extraction, Auto Correlation (AC) and Principal Component Analysis (PCA).