05-02-2013, 12:29 PM
HANDWRITING RECOGNITION
ABSTRACT ON HANDWRITING RECOGNITION
In spite of the major effort that has been expended to bring about a paper-free society, a very
large number of paper-based documents are processed daily by computers all over the world
in order to handle, retrieve, and store information. The problem is that the manual process
used to enter the data from these documents into computers demands a great deal of time and
money. The field of Document Analysis and Recognition (DAR) has played a very important
role in the attempt to overcome this problem. The general objective of DAR research is to
fully automate the process of entering and understanding printed or handwritten data into the
computer.
Machine simulation of human reading has been the subject of intensive research for the last
three decades. However, the early investigations were limited by the memory and power of
the computer available at that time. With the explosion of information technology, there has
been a dramatic increase of research in this field since the beginning of 1980s. The interest
devoted to this field is not explained only by the exciting challenges involved, but also the
huge benefits that a system, designed in the context of a commercial application, could bring.
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