An efficient paper grade identification method for automatic recyclable waste paper sorting

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

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This paper presents a new efficient method of waste paper sorting system using simple image processing technique. The primary challenge in the recycling of paper is to obtain raw material with the highest purity. Highly sorted paper stream will facilitate high quality end product, and save processing chemicals and energy. Automated paper sorting systems offer significant advantages over human inspection from fatigue, throughput, speed and accuracy point of view. From 1932 to 2008, different mechanical and optical paper sorting methods have been developed to fill up the demand of paper sorting. Still 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. This paper attempts to develop a learning based vision sensing system that will be able to separate the different grades of paper using statistical reasoning. The remarkable achievement obtained from the proposed method is the result of identification and versatility for all grades of paper just using only one sensor, which is the best among the prevailing techniques of automated paper sorting systems.

Original languageEnglish
Pages (from-to)96-103
Number of pages8
JournalEuropean Journal of Scientific Research
Volume25
Issue number1
Publication statusPublished - 2009

Fingerprint

waste paper
Waste paper
identification method
Sorting
sorting
Optical Devices
Malaysia
Recycling
Fatigue
methodology
Learning
Throughput
processing chemistry
Identification (Psychology)
fatigue
image processing
purity
recycling
raw materials
Inspection

Keywords

  • Grades of paper
  • Lignin sensor
  • Recycling
  • Waste paper sorting

ASJC Scopus subject areas

  • General

Cite this

An efficient paper grade identification method for automatic recyclable waste paper sorting. / Rahman, Mohammad Osiur; M A, Hannan; Scavino, Edgar; Hussain, Aini; Basri, Hassan.

In: European Journal of Scientific Research, Vol. 25, No. 1, 2009, p. 96-103.

Research output: Contribution to journalArticle

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