Face Recognition Using Dual Tree Complex Wavelet Transform
نویسندگان
چکیده
We propose a novel face recognition using Dual Tree Complex Wavelet Transform (DTCWT), which is used to extract features from face images. The Complex Wavelet Transform is a tool that uses a dual tree of wavelet filters to find the real and imaginary parts of complex wavelet coefficients. The DT-CWT is, however, less redundant and computationally efficient. CWT is a relatively recent enhancement to the discrete wavelet transform (DWT). We show that it is a well-suited basis for this problem as it is directionally selective, smoothly shift invariant, optimally decimated at coarse scales and invertible (no loss of information). Our face recognition scheme is fast because of the decimated nature of the DTCWT. Dual Tree methods are based on image at different resolution. Normalization is done to reduce dimensionality which will reduce memory problem and computation time. Here Principal Component Analysis which is a linear dimensionality reduction technique, that attempt to represent data in lower dimensions, is used to perform the face recognition. PCA is applied that deals with the decomposition of the training set into the Eigenvectors called Eigen faces. Various discrimination analyzes such as, Euclidean, L1, L2 and Cosine similarity are used for the recognition of face images.
منابع مشابه
K Jaya Priya and R S Rajesh: a Hybrid Face Recognition Approach Using Local Fusion of Complex Dual-tree Wavelet Coefficients and Ridgelet Transform 186 a Hybrid Face Recognition Approach Using Local Fusion of Complex Dual-tree Wavelet Coefficients and Ridgelet Transform
In this paper, we propose novel face recognition method based on local appearance feature extraction using hybrid mode of local ridgelet and fused dual-tree complex wavelet transform (DT-CWT). It provides a local multiscale description of images with good directional selectivity, effective edge representation and invariance to shifts and in-plane rotations. In the dual-tree implementation, two ...
متن کاملExpression robust three-dimensional face recognition based on gaussian filter and dual-tree complex wavelet transform
متن کامل
K Jaya Priya and R S Rajesh: a Hybrid Face Recognition Approach Using Local Fusion of Complex Dual-tree Wavelet Coefficients and Ridgelet Transform
In this paper, we propose novel face recognition method based on local appearance feature extraction using hybrid mode of local ridgelet and fused dual-tree complex wavelet transform (DT-CWT). It provides a local multiscale description of images with good directional selectivity, effective edge representation and invariance to shifts and in-plane rotations. In the dual-tree implementation, two ...
متن کاملIris Recognition Using Dual tree complex transform
A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Unlike other biometric such as fingerprints, hand geometry and face recognition, the distinct aspect of iris comes from randomly distributed features. Iris recognition is regarded as the most reliable and accurate biometric identification system availabl...
متن کاملComplex Wavelet Transform-Based Face Recognition
Complex approximately analytic wavelets provide a local multiscale description of images with good directional selectivity and invariance to shifts and in-plane rotations. Similar to Gabor wavelets, they are insensitive to illumination variations and facial expression changes. The complex wavelet transform is, however, less redundant and computationally efficient. In this paper, we first constr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012