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A Linear Scoring Algorithm for Shredded Paper Reconstruction

  • Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

This paper proposes a method of shredded paper reconstruction using a scoring algorithm. This method consists of four modules, i.e., preprocessing, scoring, searching, and reconstructing. The scoring algorithm is created to predict the location of the next black pixel using the concept of linear regression and linear combination. Three black pixels from three consecutive columns are considered to predict the position of the next black pixel. The experimental results show that the proposed method yields the better performance over directly comparing the edges of two shreds when the suitable threshold is used in the preprocessing step.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015
EditorsKokou Yetongnon, Albert Dipanda, Richard Chbeir
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages623-627
Number of pages5
ISBN (Electronic)9781467397216
DOIs
Publication statusPublished - 5 Feb 2016
Event11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 - Bangkok, Thailand
Duration: 23 Nov 2015 → 27 Nov 2015

Publication series

NameProceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015

Conference

Conference11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015
Country/TerritoryThailand
CityBangkok
Period23/11/15 → 27/11/15

Keywords

  • image reconstruction
  • linear combination
  • linear regression
  • scoring algorithm
  • shredded paper

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