![]() The optical character recognition (OCR) systems for French language were the most primitive ones and occupy a significant place in pattern recognition. A thorough understanding of this chapter will help the readers to appreciate the reading material presented in the abovementioned chapters. A comprehensive assessment of these methods is performed in Chaps. The soft computing methods are used in the different steps of OCR systems discussed in Chap. These techniques are used for developing OCR systems for different languages viz English, French, German, Latin, Hindi and Gujrati languages. They are hough transform for fuzzy feature extraction, genetic algorithms (GA) for feature selection, fuzzy multilayer perceptron (FMLP), rough fuzzy multilayer perceptron (RFMLP), fuzzy support vector machine (FSVM), fuzzy rough versions of support vector machine (FRSVM), hierarchical fuzzy bidirectional recurrent neural networks (HFBRNN) and fuzzy markov random fields (FMRF). Some important soft computing techniques for optical character recognition (OCR) systems are presented in this chapter. Since past few decades soft computing techniques have come up as a promising candidate for the development of cost effective OCR systems. There has always been a quest to develop best OCR products which satisfy the user’s needs. In the past OCR systems have been built through traditional pattern recognition and machine learning approaches. Allowing the Pro version to archive even higher performance compared to the already blazing fast standard version of OCRKit.The continuous increase in demand to discover robust and low cost optical character recognition (OCR) systems has prompted researchers to look for rigorous methods of character recognition. OCRKit Pro further optimizes the use of the many cores available today. For example the scanned date, or watermarks such as “APPROVED”, “VOID”, “PRELIMINARY”, “CONFIDENTIAL” or anything else you may need. The Imprinter allows OCRKit Pro to print text onto the page’s image. It transparently detects the language and switches to the apropriate alphabet and dictionary for each page of the document independentaly. ![]() OCRKit Pro comes with an new “Automatic” languages choice. You often find yourself switching OCR settings between documents in another languages? PDF (Portable Document Format), HTML (HyperText Markup Language), RTF (Rich Text Format) and TXT (UTF-8 encoded plain text). PDF, TIFF, JPEG, JPEG2000, PNG, PNM, BMP, PCX, GIF as well as OpenEXR. OCRKit includes AppleScript support, so professional users can use it for programmed batch conversion. It works very easy, just by dragging a document into the app dock icon or, by opening the document with the OCRKit application (Open With > ). Convert any PDF or graphic file into searchable PDF, RTF, HTML and TXT. Professional text recognition for your paperless office archive, search, edit, translate. ![]() There are also no limits to the number of pages that can be processed each day. There are no limits to the number of pages of the PDF or TIFF documents. Save time and money by transfering your paper into the digital world and find your documents in a snap. Add text recognition and compression to your scans, contracts, invoices, and receipts in your archive. As the automatic rotation works independently from the OCR mechanism, the feature also helps to improve OCR results. ![]() The automatic rotation determines the orientation of each scanned sheet automatically, therefore avoiding the need to manually pre-sort a stack before you scan. The OCR engine recognizes the following languages:īulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Hungarian, Italian, Latvian, Lithuanian, Polish, Portuguese, Rumanian, Russian, Serbian, Slovenian, Spanish, Swedish, Turkish, Ukrainian, and Norwegian. OCRKit is fast and accurate, ensuring the document’s content remains intact while saving time as well. It increases the efficiency and effectiveness of office workflow. You can use the copy and paste tools on the document, instead of retyping everything and correct it. It can be a great help for everyone, home users, corporate users at work and educational institutions. This is particularly useful for PDF documents received via e-mail or created by DTP applications. OCRKit is a simple and streamlined Mac application, that features the advanced Optical Character Recognition technology, allowing you to convert scanned or printed documents into searchable and editable text.
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