the most common goal of automatic bank cheque treatment systems is the recognition of handwritten information. However, in order to do this, it is necessary to use a reliable and efficient process able to identify and to extract the information, which can then be submitted to a further recognition phase. In this paper we present a process for identifying and distinguishing between handwritten i...

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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...

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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...

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...