A modified discrete Fourier transform, where the signal is analyzed only for a short content of the overall frequency and phase, as the signal is never constant with time, practically.
Published in Chapter:
PCG-Based Biometrics
Takhellambam Gautam Meitei (NERIST, India), Sinam Ajitkumar Singh (NERIST, India), and Swanirbhar Majumder (Tripura University, India)
Copyright: © 2018
|Pages: 25
DOI: 10.4018/978-1-5225-5152-2.ch001
Abstract
These days the wide usage of data has opened security vulnerabilities everywhere. This has led to research in the biometrics area for improving security. Presently with wide development of technology different forms of biometrics are being used in various applications. Thus, fingerprint and face are no longer the only ones being used in this field. The authors have concentrated on PCG as a biometric in this chapter. A very few sources are available in this area deeming it to be nascent. Recent proposals were examined, and it was observed that PCG reduces the risks of vulnerability faced by other biometric system. A simple biometric system would consist of steps like preprocessing, segmentation, feature extraction, and comparison or matching phase. In this chapter, some pre-processing steps as implemented by various authors using wavelets and other feature extraction techniques, implemented for the PCG biometric system by various researchers, are reviewed. Later, in the matching phase, Euclidean distance, GMM, FSR, VQ method are examined.