Document scanning is becoming more and more important these days. Most of the businesses need one or the other document like your identity, or some sort of proof (residence, income, SSN or birth certificate). Mobile phones, tablets, and iPads are easily accessible than the scanner connected to the personal computer, so it is crucial to integrate the scanning feature in the mobile applications. This paper briefly compares two possible approaches for augmented paper document scanning, Native versus Cross-platform and proposes a cost-effective solution, cross-platform mobile scanner, using technologies like Apache Cordova, OpenCV, HTML5, JavaScript, and CSS. The cross-platform solution provided for document scanning is possible to extend for a mobile website as well. This paper also presents different computer vision algorithms, fundamentals of image formation, camera-imaging geometry, feature detection and matching of digital images, and it also explains methods for acquiring, processing, analyzing and understating digital images.
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