The commercial and industrial applications, namely, business form reading, bank cheque reading, and full postal address reading, have constituted the majority of the market for handwriting recognition technology. Devanagari is the most popular script in India and is used to write texts in Hindi, Marathi and Nepali languages. Significant amount of work has been done on Devanagari isolated charac...

The emergence of e-commerce has created new financial needs that in many cases cannot be effectively fulfilled by the traditional payment systems. Recognizing this, virtually all interested parties are exploring various types of electronic payment systems, issues surrounding electronic payment system and digital currency. Broadly, electronic payment systems can be classified into four categorie...

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Abstract In the Europe 2020 strategy in area of smart growth one flagship initiatives is Digital Agenda for Europe. Implementation this initiative will lead to wide-availability ICT solutions society. Young people belonging Generation Y most often treat computer as a natural household equipment. Regular use Internet very popular among them. They increasingly mobile field ICT. The intelligent in...

The object-oriented access control in contemporary middleware is inadequate in view of the sensitivity of data stored on the internet and the growing threat from hackers and malicious software. In this paper we present the Opsis system, an architecture for distributed Java applications based on the strict use of ‘bracket capabilities’. We describe the concept of ‘capability servers’ for support...

Off-line recognition of text plays a significant role in several applications, such as cheque verification and mail sorting. However, the selection of the technique for feature extraction remains a big challenging step for achieving high recognition accuracy. This paper presents an efficient handwritten digit recognition system based on HOG to capture the discriminative features of digit image....

In this paper we present a stochastic framework for the recognition of binary random patterns which advantageously combine hmms and Markov random elds (mrfs). The hmm component of the model analyzes the image along one direction, in a speci c state observation probability given by the product of causal mrf-like pixel conditional probabilities. Aspects concerning de nition, training and recognit...

This paper describes the combination of Shamir secret sharing method with the trap door characteristics of discrete logarithm mod a large prime number as employed in the Diffie-Hellman exchange scheme. The purpose of this combination is to protect the privacy of the numbers held by the parties of the shared secret, while at the same time authorizing them to broadcast data in the clear which whe...