Object identification using DNA computing algorithm

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

Research output: Contribution to conferencePaper

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. © 2012 IEEE.
Original languageEnglish
DOIs
Publication statusPublished - 04 Oct 2012
Externally publishedYes
Event2012 IEEE Congress on Evolutionary Computation, CEC 2012 -
Duration: 04 Oct 2012 → …

Conference

Conference2012 IEEE Congress on Evolutionary Computation, CEC 2012
Period04/10/12 → …

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All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Energy(all)
  • Mechanical Engineering
  • Management, Monitoring, Policy and Law

Cite this

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