Face Recognition using Gabor Wavelet and a Comparison with Gaussian PCA
نویسندگان
چکیده
The selection of appropriate wavelets is an important target for any application. In this paper Face recognition has been performed using Principal component analysis (PCA), Gaussian based PCA and Gabor based PCA. PCA extracts the relevant information from complex data sets and provides a solution to reduce dimensionality. PCA is based on Euclidean distance calculation which is minimized by applying Gabor filter as compared to Gaussian Filter to enhance the accuracy for Face recognition. The experiments shows that the proposed method (PCA) can effectively reduced the computational complexity. Gabor based PCA shows 99.74% more accurate result as compare to 94.54% Gaussian based PCA for face recognition.
منابع مشابه
Face Recognition Using Gabor Wavelet for Image Processing Applications
The selection of appropriate wavelets is an important target for any application. In this paper Face recognition has been performed using Principal component analysis (PCA), Gaussian based PCA and Gabor based PCA. PCA extracts the relevant information from complex data sets and provides a solution to reduce dimensionality. PCA is based on Euclidean distance calculation which is minimized by app...
متن کاملتشخیص چهره با استفاده از PCA و فیلتر گابور
Methods for face recognition which are based on face structure are among techniques without supervision and produce unfavorable results in the presence of linear changes in images. PCA is a linear transform and a powerful tool for data analysis but does not produce good results for face recognition when there are non-linear changes resulting from changes in position, intensity and gesture in th...
متن کاملThe Integration of PCA, FLD and Gabor Two-dimensional Wavelet Transformation using Facial Expression Feature Extraction
In order to improve the rate of facial expression recognition. The Gabor wavelet fusion PCA+FLD method is proposed as a new method this paper. Firstly, face image preprocessing, and then carries on the two-dimensional wavelet transform Gabor, first constructed five scale eight directional wavelet filter, through the PCA+FLD method for dimensionality reduction, and finally obtaining an optimum e...
متن کاملComparison of Face Recognition Techniques
In [2] feature graphs based on a wavelet transform, principle component analysis (PCA), and linear discriminant analysis (LDA) are compared. They reported 88%, 85% and 56% accuracy for PCA, LDA, and Gabor Wavelets respectively with a database containing 20 and individuals varying in gender, age, pose, and race. For each individual five images were used for testing, while one images was employed...
متن کاملComparison of wavelet, Gabor and curvelet transform for face recognition
There has been much research about using Gabor wavelet for face recognition. Other multiscale geometrical tools, such as curvelet and contourlet, have also been used for face recognition, thus it is interesting to know which method performs best, especially under illumination and expression changes. In this paper, we make a systematic comparison of wavelet, Gabor and curvelet for recognition, a...
متن کامل