Research on the Paper Splicing Recovery

Yu Xuan Jiang

doi:10.4028/www.scientific.net/AMM.602-605.3443

Paper Titles

Modeling of Warehouse System with RFID Based on Petri Net
p.3425

Analysis of Information Propagation Mechanism Based on Hierarchical Temporal Memory
p.3429

Analysis of Center Detonation Characteristics of Water Mist
p.3434

A Study on Public Satisfaction of County Electronic Government Affairs: Taking Linzhang County in Hebei Province for Example
p.3438

Research on the Paper Splicing Recovery
p.3443

Fusion Algorithm Based on Improved Linear Local Tangent Space Alignment Algorithm
p.3447

The Design and Application of Telecommunication Network Resources Abstract Model
p.3451

Research of Requirement Analysis about Middleware in the Business Environment of Web of Things
p.3457

The Development and Research of Data Mining Technology
p.3461

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Research on the Paper Splicing Recovery

Research on the Paper Splicing Recovery

Abstract:

This paper focuses on scraps of paper splicing recovery issues. To deal with complex scraps restoration problem, first the image should be changed as pixel grey level binary image, generating binary matrix, and then classify the scraps using SOM neural network data and feature comparison method. Combining with the Euclidean distance discriminant method, we match the scraps of paper with same edges and obtain a complete stitching schematic finally.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3443-3446

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3443

Citation:

Cite this paper

Online since:

August 2014

Authors:

Yu Xuan Jiang*

Keywords:

Pixel Gray Binary, SOM Neural Network, Splicing Recovery

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Information on http: /baike. baidu. com/link?url=tNPwryqQjF7vrDzoYwNG7ddUpRBhehtDhg O3WVIZ6NF6imY5awIYbYXHrn0nX6NI.

Google Scholar

[2] Fanyu Meng, Wen Qian, Yanqiong Fang: Natural Science Journal of Harbin Normal University, vol29(2013), No. 6, pp.60-62.

Google Scholar

[3] Xiao xia Li, Zhi peng Gao, Rui yi Zhang: Journal of Yuncheng University, vol31 (2013) No. 5. pp.12-15.

Google Scholar

[4] XiaochuanWang: Analysis of thirty cases on Matlab neural network( Beijing University of Aeronautics and Astronautics Press, China, 2010)pp.159-169.

Google Scholar

[5] QiyuanJiang, JinxingXie, JunYe: Mathematical Models(Higher education press, China, 2011. ) pp.38-43.

Google Scholar