Object identification using DNA computing algorithm

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

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

7 Citations (Scopus)

Abstract

Although template matching method is widely used for object identification, the large computational time is the major drawback to use this method in real time application. Using the concepts of replication and massive parallelism operations, the DNA computing algorithm can efficiently reduce the computational time of the template matching method. The emphasis of this research has been given in two objectives, namely development of a generic DNA computing algorithm for object identification based on the theme of the template matching technique and application of this algorithm for recyclable waste paper sorting. The achieved classification success rates are 92%, 90%, and 93% with template size 5 x 5 pixels for white paper, old newsprint paper and old corrugated cardboard, respectively.

Original languageEnglish
Title of host publication2012 IEEE Congress on Evolutionary Computation, CEC 2012
DOIs
Publication statusPublished - 2012
Event2012 IEEE Congress on Evolutionary Computation, CEC 2012 - Brisbane, QLD
Duration: 10 Jun 201215 Jun 2012

Other

Other2012 IEEE Congress on Evolutionary Computation, CEC 2012
CityBrisbane, QLD
Period10/6/1215/6/12

Fingerprint

DNA Computing
Template matching
Template Matching
DNA
Waste paper
Newsprint
Sorting
Replication
Parallelism
Template
Pixel
Pixels
Object

Keywords

  • DNA Computing
  • Paper Grade
  • Template Matching
  • Waste Paper Sorting

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Rahman, M. O., Hussain, A., Scavino, E., M A, H., & Basri, H. (2012). Object identification using DNA computing algorithm. In 2012 IEEE Congress on Evolutionary Computation, CEC 2012 [6256526] https://doi.org/10.1109/CEC.2012.6256526

Object identification using DNA computing algorithm. / Rahman, Mohammad Osiur; Hussain, Aini; Scavino, Edgar; M A, Hannan; Basri, Hassan.

2012 IEEE Congress on Evolutionary Computation, CEC 2012. 2012. 6256526.

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

Rahman, MO, Hussain, A, Scavino, E, M A, H & Basri, H 2012, Object identification using DNA computing algorithm. in 2012 IEEE Congress on Evolutionary Computation, CEC 2012., 6256526, 2012 IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, QLD, 10/6/12. https://doi.org/10.1109/CEC.2012.6256526
Rahman MO, Hussain A, Scavino E, M A H, Basri H. Object identification using DNA computing algorithm. In 2012 IEEE Congress on Evolutionary Computation, CEC 2012. 2012. 6256526 https://doi.org/10.1109/CEC.2012.6256526
Rahman, Mohammad Osiur ; Hussain, Aini ; Scavino, Edgar ; M A, Hannan ; Basri, Hassan. / Object identification using DNA computing algorithm. 2012 IEEE Congress on Evolutionary Computation, CEC 2012. 2012.
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