TY - JFULL AU - Justin Leo Cheang Loong and Khazaimatol S Subari and Muhammad Kamil Abdullah and Nurul Nadia Ahmad and RosliBesar PY - 2010/9/ TI - Comparison of MFCC and Cepstral Coefficients as a Feature Set for PCG Biometric Systems T2 - International Journal of Biomedical and Biological Engineering SP - 334 EP - 339 VL - 4 SN - 1307-6892 UR - https://publications.waset.org/pdf/8872 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 44, 2010 N2 - Heart sound is an acoustic signal and many techniques used nowadays for human recognition tasks borrow speech recognition techniques. One popular choice for feature extraction of accoustic signals is the Mel Frequency Cepstral Coefficients (MFCC) which maps the signal onto a non-linear Mel-Scale that mimics the human hearing. However the Mel-Scale is almost linear in the frequency region of heart sounds and thus should produce similar results with the standard cepstral coefficients (CC). In this paper, MFCC is investigated to see if it produces superior results for PCG based human identification system compared to CC. Results show that the MFCC system is still superior to CC despite linear filter-banks in the lower frequency range, giving up to 95% correct recognition rate for MFCC and 90% for CC. Further experiments show that the high recognition rate is due to the implementation of filter-banks and not from Mel-Scaling. ER -