Real-time waste paper grading using CBR approach

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 1 A, 2012, Pages 471-488

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

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

Author keywords

Grades of paper; Template matching; Waste paper sorting

Indexed keywords

CBR; INTELLIGENT TECHNIQUES; MECHANICAL PAPER; OLD CORRUGATED CARDBOARDS; OPTICAL METHODS; OPTICAL PAPER; REGION OF INTEREST; SORTING SYSTEM; TEMPLATE DATABASE; VISION SENSING SYSTEM; WASTE PAPER SORTING; WHITE PAPERS; WINDOW SIZE;

IMAGE PROCESSING; OPTICAL DATA PROCESSING; PAPER PRODUCTS; SENSORS; TEMPLATE MATCHING;

WASTE PAPER;

DATA PROCESSING; IMAGE ANALYSIS; OPTICAL ACTIVITY; PAPER GRADES; PAPER PRODUCTS; PATTERNS; SENSORS; SORTING; WASTE PAPERS;

EID: 84856950851     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (47)

1. J. Petek and P. Glavic, An integral approach to waste minimization in process industries, Resource, Conservation and Recycling, vol.17, no.3, pp.169-188, 1996.
2. Paper Recycling, http://www.newsprint.com.my/, 2010.
3. WasteCap, http://www.wastecap.org/wastecap/commodities/paper/paper.htm, 2008.
4. M. O. Rahman, M. A. Hannan, E. Scavino, A. Hussain and H. Basri, An efficient paper grade identification method for automatic recyclable waste paper sorting, European Journal of Scientific Research, vol.25, no. l, pp.96-103, 2009.
5. R. K. Pati, P. Vrat and P. Kumar, Economic analysis of paper recycling vis-a-vis wood as raw material, Int. J. Prod. Econ., vol.103, no.2, pp.489-508, 2006.
6. 2 emissions, Resources, Conservation and Recycling, vol.54, no. 12, 2010.
7. Paper Grades, http://www.paperonweb.com/ppmanf.htm, 2009.
8. S. Faibish, H. Bacakoglu and A. A. Goldenberg, An eye-hand system for automated paper recycling, Proc. of the IEEE International Conference on Robotics and Automation, Albuquerque, New Mexico, pp.9-14, 1997.
9. M. K. Ramasubramanian, R. A. Venditti, C. M. Ammineni and M. Mallapragada, Optical sensor for noncontact measurement of lignin content in high-speed moving paper surfaces, IEEE Sensors Journal, vol.5, no.5, pp.1132-1139, 2005.
10. F. A. Hottenstein, G. R. Kenny, T. Friberg and M. Jackson, High-speed automated optical sorting of recovered paper, Proc. of the TAPPI Recycling Symposium, Atlanta, GA, USA, pp.149-158, 2000.
11. R. A. Venditti, M. K. Ramasubramanian and C. K. Kalyan, A noncontact sensor for the identification of paper and board samples on a high speed sorting conveyor, Journal of the Technical Association of the Australian and New Zealand Pulp and Paper Industry, vol.60, no.5, pp.366-371, 2007.
12. N. H. Sandberg, Sorting Device for Waste Paper, US Patent No. 1,847,265, 1932.
13. A. Bialski, C. Gentile and O. Sepall, Paper Sorting Apparatus, US Patent No. 4,236,676, 1980.
14. M. Grubbs, G. R. Kenny and P. G. Gaddis, Paper Sorting System, US Patent No. 6,250,472, 2001.
15. Z. Khalfan and S. Greenspan, Optical Paper Sorting Method Device and Apparatus, US Patent No. 7,081,594, 2006.
16. R. Eixelberger, P. Friedl and K. Gschweitl, Method and Apparatus for Sorting Waste Paper of Different Grades and Conditions, US Patent No. 6,506,991, 2003.
17. R. S. Bruner, D. R. Morgan, G. R. Kenny, P. G. Gaddis, D. Lee and J. M. Roggow, System and Method for Sensing White Paper, US Patent No. 6,570,653, 2003.
18. A. G. Doak, M. G. Roe and G. R. Kenny, Multi-Grade Object Sorting System and Method, US Patent No. 7173709, 2007.
19. Gschweitl and K. Heinz, Method for Sorting Waste Paper, European Patent, EP0873797, 1998.
20. M. O. Rahman, A. Hussain, E. Scavino, M. A. Hannan and H. Basri, Recyclable Waste Paper Sorting Using Template Matching, Springer-Verlag, Germany, 2009.
21. M. O. Rahman, A. Hussain, E. Scavino, M. A. Hannan and H. Basri, Segregating recyclable waste papers using co-occurrence features, Proc. of the 9th WSEAS International Conference on Applied Computer Science, Genova, Italy, pp.187-191, 2009.
22. C. M. Chandini, Design of Lignin Sensor for Identification of Waste Paper Grades for an Automatic Waste Paper Sorting System, Master Thesis, North Carolina State University, 2001.
23. Z. Khalfan, Optical Paper Sorter, US Patent No. 6,335,501, 2002.
24. Z. Khalfan and S. Greenspan, Optical Paper Sorting Method Device and Apparatus, US Patent No. 2006/0124511, 2006.
25. A. G. Doak, M. G. Roe and G. R. Kenny, Multi-Grade Object Sorting System and Method, US Pa, tent No. US2007/0002326, 2007.
26. K. K. Chakravarthi, Development of Online Stiffness Sensor for High Speed Sorting of Recovered Paper, Master Thesis, North Carolina State University, 2006.
27. M. K. Ramasubramanian, R. A. Venditti and P. K. Gillella, Sensor Systems for High Speed Intelligent Sorting of Waste Paper in Recycling, http://www.osti.gov/bridge/servlets/purl/919471-VGwxA0/919471.PDF, 2008.
28. Paper Competitors, http://separation.wikispaces.com/Paper+Competitors, 2009.
29. TITECH Autosort, http://www.titech.com/recycling-equipment/titech-autosort-10715, 2009.
30. Pellenc, Paper Sorting Company, http://www.pellencst.c0m/en/l/pr0ducts, 2009.
31. Pellenc, MIR Technology, http://www.pellencst.com/en/21/54/mir-technology, 2009.
32. RedWave, BT-Wolfgang Binder, http://www.redwave.at/altpapierrecycling/, 2009.
33. Remade Scotland, Initial Business Case for Utilisation of Automated Optical Paper Sorting Technology, http://www.remade.org.uk/files/InitialBusinessCaseforUtilisationofAutomatedOpticalPaperSor-tingTechnology_16122222124.pdf, 2009.
34. D. A. Wahab, A. Hussain, E. Scavino, M. M. Mustafa and H. Basri, Development of a prototype automated sorting system for plastic recycling, American Journal of Applied Sciences, vol.3, no.7, pp.1924-1928, 2006.
35. S. H. Chen, A. J. Jakeman and J. P. Norton, Artificial intelligence techniques: An introduction to their use for modelling environmental systems, Mathematics and Computers in Simulation, vol.78, no.2-3, pp.379-400, 2008.
36. D. T. Pham and R. J. Alcock, Smart Inspection System-Techniques and Applications of Intelligent Vision, Academic Press, Great Britain, 2003.
37. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd Edition, Prentice Hall, USA, 2008.
38. A. Aamodt and E. Plaza, Case-based reasoning: Fundamental issues, methodological variations, and system approaches, AI Communication, vol.7, no. l, pp.35-59, 1994.
39. Logitech QuickCam Pro 4000 Web Camera Specification, http://reviews.cnet.com/webcams/quickcam-pro-4000-web/4507-6502_7-20276742.html?tag=rnav, 2009.
40. M. W. Burke, Image Acquisition-Handbook of Machine Vision Engineering: Volume 1, Chapman and Hall, London, 1996.
41. R. G. P. Kumar, Mechatronic Design of a Waste Paper Sorting System for Efficient Recycling, Master Thesis, North Carolina State University, 2007.
42. R. K. Patia, P. Vrat and P. Kumar, A goal programming model for paper recycling system, Omega the International Journal of Management Science, vol.36, no.3, pp.405-417, 2008.
43. T. Ekvall, Key methodological issues for life cycle inventory analysis of paper recycling, Journal of Cleaner Production, vol.7, no.4, pp.281-294, 1999.
44. M. O. Rahman, A. Hussain, E. Scavino, N. E. A. Basri, H. Basri and M. A. Hannan, Waste paper grade identification system using window features, Journal of Computational Information Systems, vol.6, no.7, pp.2077-2091, 2010.
45. M. O. Rahman, A. Hussain, M. A. Hannan, E. Scavino and H. Basri, Intelligent computer vision system for segregating recyclable waste papers, Expert Systems with Applications, vol.38, no.8, pp. 10398-10407, 2011.
46. S. Karungaru, M. Fukumi, N. Akamatsu and T. Akashi, Detection and recognition of vehicle license plates using template matching, genetic algorithms and neural networks, International Journal of Innovative Computing, Information and Control, vol.5, no.7, pp. 1975-1985, 2009.
47. H. Ryu, V. Dinh and M. Kim, Real-time multi-view face tracking combining learning based classifier and template matching, ICIC Express Letters, vol. l, no.2, pp.185-189, 2007.