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Unit 7: Multimedia Software Tools



            Recognition of cursive text is an active area of research, with recognition rates even lower than   notes
            that of hand-printed text. Higher rates of recognition of general cursive script will likely not be
            possible without the use of contextual or grammatical information. For example, recognizing
            entire words from a dictionary is easier than trying to parse individual characters from script.
            Reading the Amount line of a cheque (which is always a written-out number) is an example where
            using a smaller dictionary can increase recognition rates greatly. Knowledge of the grammar of
            the language being scanned can also help determine if a word is likely to be a verb or a noun, for
            example, allowing greater accuracy. The shapes of individual cursive characters themselves simply
            do not contain enough information to accurately (greater than 98%) recognise all handwritten
            cursive script.
            It is necessary to understand that OCR technology is a basic technology also used in advanced
            scanning applications. Due to this, an advanced scanning solution can be unique and patented
            and not easily copied despite being based on this basic OCR technology.

            For more complex recognition problems, intelligent character recognition systems are generally
            used, as artificial neural networks can be made indifferent to both affine and non-linear
            transformations.
            A technique which is having considerable success in recognizing difficult words and character
            groups within documents generally amenable to computer OCR is to submit them automatically
            to humans in their CAPTCHA system.

                          In 1955, the first commercial OCR system was installed at the Reader’s Digest.
                          Reader’s Digest is a general interest family magazine, published ten times
                          annually.
            7.2.3 advantages of oCr

            The advantages of OCR are numerous, but namely it increases the efficiency and effectiveness of
            office work. The ability to instantly search through content is immensely useful, especially in an
            office setting that has to deal with high volume scanning or high document inflow. You can now
            use the copy and paste tools on the document as well, instead of rewriting everything to correct
            it. The OCR is quick and accurate, ensuring the document’s content remains intact while saving
            time as well. When combined with other technologies such as scanning and file compression, the
            advantages of OCR truly shine. Workflow is increased since employees no longer have to waste
            time on manual labour and can work quicker and more efficiently.
            self assessment

            Choose the correct answer:

               1.  A text editor cannot change configuration files and programming language source code.
                 (  a)  True                    (b)  False
               2.  With the help of word processor you can make changes without retyping the entire
                 document.
                 (  a)  True                    (b)  False
               3.  Which one is not a word processor?
                 (  a)  Microsoft Word          (b)  WordPerfect
                 (  c)  Adobe Photoshop         (d)  None of these
              4.  WYSIWYG stands for

                 (  a)  what you shown is what you gain



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