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dc.contributor.author | Aleeza Safdar | |
dc.contributor.author | Usama Mansoor Ali | |
dc.contributor.author | Shahid Nazir Bhatti | |
dc.date.accessioned | 2018-12-18T05:30:42Z | |
dc.date.available | 2018-12-18T05:30:42Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/123456789/8039 | |
dc.description.abstract | There are numerous difficulties in recognizing the textual data from the images and requires great attention. Typical Optical Character Recognition (OCR) systems provide this facility to detect the textual data from image data. The text can also be in handwritten format. In this paper, we proposed the methods or API’s that are used in Visual Studio to detect the text from images. Visual Studio only supports MSDN libraries and for this reason the other operations to be performed like, in text recognition OCR simply cannot be implemented without any elaborated API. These API’s are basically based on different libraries that are introduced in Visual Studio in order to use the predefined functions of these mentioned libraries. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Bahria University Islamabad Campus | en_US |
dc.subject | Department of Software Engineering | en_US |
dc.title | Optimized order of character recognition in C# using tesseract | en_US |
dc.type | Article | en_US |