Recyclable waste paper sorting using template matching

Mohammad Osiur Rahman, Aini Hussain, Edgar Scavino, Hannan M A, Hassan Basri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper explores the application of image processing techniques in recyclable waste paper sorting. In recycling, waste papers are segregated into various grades as they are subjected to different recycling processes. Highly sorted paper streams will facilitate high quality end products, and save processing chemicals and energy. Since 1932 to 2009, different mechanical and optical paper sorting methods have been developed to fill the demand of paper sorting. Still, in many countries including Malaysia, waste papers are sorted into different grades using manual sorting system. Due to inadequate throughput and some major drawbacks of mechanical paper sorting systems, the popularity of optical paper sorting systems is increased. Automated paper sorting systems offer significant advantages over human inspection in terms of fatigue, throughput, speed, and accuracy. This research attempts to develop a smart vision sensing system that able to separate the different grades of paper using Template Matching. For constructing template database, the RGB components of the pixel values are used to construct RGBString for template images. Finally, paper object grade is identified based on the maximum occurrence of a specific template image in the search image. The outcomes from the experiment in classification for White Paper, Old Newsprint Paper and Old Corrugated Cardboard are 96%, 92% and 96%, respectively. The remarkable achievement obtained with the method is the accurate identification and dynamic sorting of all grades of papers using simple image processing techniques.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages467-478
Number of pages12
Volume5857 LNCS
DOIs
Publication statusPublished - 2009
Event1st International Visual Informatics Conference, IVIC 2009 - Kuala Lumpur
Duration: 11 Nov 200913 Nov 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5857 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Visual Informatics Conference, IVIC 2009
CityKuala Lumpur
Period11/11/0913/11/09

Fingerprint

Waste paper
Template matching
Template Matching
Sorting
Template
Recycling
Image Processing
Image processing
Throughput
Malaysia
Newsprint
Fatigue
Inspection
Sensing
Pixel
Pixels
Fatigue of materials

Keywords

  • Grades of paper
  • Template matching
  • Waste paper sorting

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Osiur Rahman, M., Hussain, A., Scavino, E., M A, H., & Basri, H. (2009). Recyclable waste paper sorting using template matching. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5857 LNCS, pp. 467-478). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS). https://doi.org/10.1007/978-3-642-05036-7_44

Recyclable waste paper sorting using template matching. / Osiur Rahman, Mohammad; Hussain, Aini; Scavino, Edgar; M A, Hannan; Basri, Hassan.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS 2009. p. 467-478 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5857 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Osiur Rahman, M, Hussain, A, Scavino, E, M A, H & Basri, H 2009, Recyclable waste paper sorting using template matching. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5857 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5857 LNCS, pp. 467-478, 1st International Visual Informatics Conference, IVIC 2009, Kuala Lumpur, 11/11/09. https://doi.org/10.1007/978-3-642-05036-7_44
Osiur Rahman M, Hussain A, Scavino E, M A H, Basri H. Recyclable waste paper sorting using template matching. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS. 2009. p. 467-478. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-05036-7_44
Osiur Rahman, Mohammad ; Hussain, Aini ; Scavino, Edgar ; M A, Hannan ; Basri, Hassan. / Recyclable waste paper sorting using template matching. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5857 LNCS 2009. pp. 467-478 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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