Mobile phone camera-based video scanning of paper documents

Muhammad Muzzamil Luqman (1) , Petra Gomez-Krämer (1) , Jean-Marc Ogier (1)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

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.

Mots clés: camera based document image analysis; document image mosaicing; image registration

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]

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⟩