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Mobile phone camera-based video scanning of paper documents

Abstract

Mobile phone camera-based document video scan- ning is an interesting research problem which has entered into a new era with the emergence of widely used, processing capable and motion sensors equipped smartphones. We present our ongoing research on mobile phone camera-based document image mosaic reconstruction method for video scanning of paper documents. In this work, we have optimized the classic keypoint feature descriptor based image registration method, by employing the accelerometer and gyroscope sensor data. Experimental results are evaluated using optical character recognition (OCR) on the reconstructed mosaic from mobile phone camera-based video scanning of paper documents.
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Dates and versions

hal-00946625 , version 1 (13-02-2014)

Identifiers

  • HAL Id : hal-00946625 , version 1

Cite

Muhammad Muzzamil Luqman, Petra Gomez-Krämer, Jean-Marc Ogier. Mobile phone camera-based video scanning of paper documents. Proceedings of the Fifth International Workshop on Camera-Based Document Analysis and Recognition, Aug 2013, Washington D.C., United States. pp.77-82. ⟨hal-00946625⟩

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L3I UNIV-ROCHELLE
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