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The computer vision problem of face recognition has over the years become a common high-requirement benchmark for machine learning methods. In the last decade, highly efficient face recognition systems have been developed that extensively use the nature of the image domain to achieve accurate real-time performance. The effectiveness of such systems are possible only with the progress of machine learning algorithms. Support vector machine learning is a relatively recent method that offers a good generalization performance in classification problems like face recognition. An algorithm based on...

Pattern matching problem has been studied throughout the history of computer science and is crucial to the computing industry. Over the years, pattern matching algorithms have been extensively applied in various computer applications, for example, in retrieval of information, information security, searching nucleotide or amino acid sequence patterns in biological sequence databases etc. Pattern matching in computational biology arises from the need to know the characteristics of DNA sequences, such as finding the best way to align two sequences or finding any common sub-sequences or...

Elliptic curve cryptosystem provides greater security for any key size, when compared to integer factorization and discrete logarithm system. Generally in digital signature scheme, signature (r, s) along with message will be sent to the receiver but in this approach, signature alone is sent and message will be recovered from signature. This project deals with implementation of knapsack based Elliptic Curve Cryptography (ECC) for digital signature authentication with message recovery. The strength of knapsack algorithm depends on the selection of the knapsack series. Stern series which reduces...