Compression Based Face Recognition Using DWT and SVM

Abstract

The biometric is used to identify a person effectively and employ in almost all applications of day to day activities. In this paper, we propose compression based face recognition using Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM). The novel concept of converting many images of single person into one image using averaging technique is introduced to reduce execution time and memory. The DWT is applied on averaged face image to obtain approximation (LL) and detailed bands. The LL band coefficients are given as input to SVM to obtain Support vectors (SV's). The LL coefficients of DWT and SV's are fused based on arithmetic addition to extract final features. The Euclidean Distance (ED) is used to compare test image features with database image features to compute performance parameters. It is observed that, the proposed algorithm is better in terms of performance compared to existing algorithms.

System for Fusion of Face and Speech Modalities Using DTCWT+QFT and MFCC+RASTA Techniques

“…These parameter values of DTCWT, QFT and fusion of these mechanisms are recorded in Table 1 , with various combinations of HID and HOD values. The Table 2 gives the results recorded towards performance comparison of proposed fusion techniques with the existing mechanisms presented by researchers in (29) , (30) , (31) and (32) . The percentage values of optimum TSR are higher and percentage https://www.indjst.org/ of Equal Error Rate values are less in proposed technique when compared with available techniques.…”

“…The graphical analysis given in Figures 10 and shows that the proposed technique's performance is better placed. (31) LPCC+MFCC (32) SVM (33) HMM (34) RNN (35) The Table 3 records the values of performance parameters calculated for proposed MFCC+RASTA techniques and comparative values of existing techniques. The graphical illustration of comparing proposed technique with existing techniques demonstrated in Figure 12, gives the better place for proposed techniques in terms of accuracy and precision values.…”