Face recognition is the process of identifying a person by grabbing his face and matching it against a trained database. Facial feature extraction is one of the methods for face recognition. We intend to propose an efficient facial feature representation by using Dual Tree -Complex Wavelet Transform (DT-CWT). The Complex-WT face characterizes the geometrical structure of facial images by using the properties of DT-CWT such as approximate shift invariance and good directional selectivity. Since the efficiency retained with DT-CWT is inadequate, a new block design using Dual Tree Complex Wavelet Transform along with efficient normalization and noise reduction techniques is developed. Normalization is done using Discrete cosine transform and Total variation minimization approach is used as a noise reduction technique. Using the new design a face recognition system is developed. Effectiveness of the system is evaluated using FERET and Yale databases
Nowadays digital libraries have become the source of information, sharing across the globe in the fields of education, research and knowledge. The full usage of digital libraries will be realized only when people can have access to the material from any location. The advantage of multimedia is that people of all ages can understand more clearly by seeing or hearing rather than reading. Considering the exponential growth in various technologies, developing a multimedia digital library in wireless is not an complicated task. Grid computing enables the virtualization data resources, process network bandwidth and storage capacities to create a single system image granting the user a seamless access to vast IT capabilities. By adopting peer-to-peer overlay networks, which are taking a central position in information systems, the storage space problem can be solved and by using grid computing the security can be maintained. In this article, we propose a framework for wireless multimedia digital library, built using Grid and P2P technology. Using this proposed framework, the digital data is stored in a cluster built of commodity components and users can access those data from anywhere, anytime securely. Advantages of this framework are: (i) existing capital investments are used for storing the multimedia files, (ii) increased access to data, (iii) balancing workloads among different systems connected in pGrid nodes, (iv) authenticated and secured transfer of files. Benchmarks used to test this framework are: (i) file size vs. download time, (ii) simultaneous connections, (iii) band-width utilization, (iv) security, (v) scalability, and (vi) robustness.
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