Mobile Phone Camera-Based Video Scanning of Paper Documents

被引：6

作者：

Luqman, Muhammad Muzzamil ^{[1
]}

Gomez-Kraemer, Petra ^{[1
]}

Ogier, Jean-Marc ^{[1
]}

机构：

[1] Univ La Rochelle, L3i Lab, Ave M Crepeau, F-17042 La Rochelle, France

来源：

CAMERA-BASED DOCUMENT ANALYSIS AND RECOGNITION, CBDAR 2013 | 2014年 / 8357卷

关键词：

Camera-based document image analysis; Document image; mosaicing; Image registration;

D O I：

10.1007/978-3-319-05167-3_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Mobile phone camera-based document video scanning 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.

引用

页码：164 / 178

页数：15

共 17 条

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