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| dc.contributor.author | Saleem, Faraz Reg # 22780 | |
| dc.date.accessioned | 2017-06-19T07:34:43Z | |
| dc.date.available | 2017-06-19T07:34:43Z | |
| dc.date.issued | 2015-06 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/1810 | |
| dc.description | Supervised by Engr. Wafa Qaiser Khan | en_US |
| dc.description.abstract | In the era of technology where almost everything is computerized to increase ease and reduce human effort, the business card stays the same since 17th century. The problems with the business card are that: they are not ecofriendly, costs of paper, and costs for designing/printing, they occupy space, and if they are lost you somehow have to contact the person for a new business card. The solution is to digitize business cards which can be achieved through Computer Vision and Software application for mobile development the area of computer/software engineering. The particular part for the area of Computer Vision is OCR and for Software application for mobile is Android. Keywords: | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.subject | Optical Character Recognition, Android, Business Card, Otsu Algorithm, Dropbox v | en_US |
| dc.title | Android Business Card Drafter | en_US |
| dc.type | Thesis | en_US |
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BSE (BUKC) [86]