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The mobile phone as a platform for assisting the independent living ...

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Fig. 13: Per<strong>for</strong>ming OCR on a photograph of a medication boxOptical Character Recognition is achieved with <strong>the</strong> help of Microsoft Office DocumentImaging (MODI) object model. MODI is a Microsoft Office application that supportsediting documents scanned by Microsoft Office Document Scanning. It w<strong>as</strong> firstintroduced in Microsoft Office XP and is included in later Office versions includingOffice 2003 and Office 2007. One of <strong>the</strong> MODI features is an OCR engine that it allowsusers to produce editable text from scanned documents, interpreting pixel-b<strong>as</strong>ed imagesto layout and text elements.7.4 Optimizing <strong>the</strong> resultsWe tested our application with a number of photographs captured by a ΗTC P3650smart <strong>phone</strong>. <strong>The</strong> results derived from our experiments were discouraging, so we didseveral ef<strong>for</strong>ts to optimize <strong>the</strong> per<strong>for</strong>mance of our application.A well-known method that can be used to incre<strong>as</strong>e <strong>the</strong> image quality and thus, <strong>the</strong> OCRresults, is per<strong>for</strong>ming image processing techniques to <strong>the</strong> photographs. We used AdobePhotoshop CS2 to apply image processing functions to photographs of medication boxesin order to achieve a better per<strong>for</strong>mance of <strong>the</strong> OCR. <strong>The</strong> image processing techniquesthat we per<strong>for</strong>med are:• Contr<strong>as</strong>t adjustment• Level adjustment• Grayscale• Sharpness filter• Threshold adjustment43

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