Performance comparison of min-max normalisation on frontal face detection using haar classifiers

A. F.M. Saifuddin Saif, Ali Garba Garba, Jamilu Awwalu, Haslina Arshad, Lailatul Qadri Zakaria

Research output: Contribution to journalArticle

Abstract

Face detection and analysis is an important area in computer vision. Furthermore, face detection has been an active research field in the recent years following the advancement in digital image processing. The visualisation of visual entities or sub-pattern composition may become complex to visualise due to the high frequency of noise and light effect during examination. This study focuses on evaluating the ability of Haar classifier in detecting faces from three paired Min-Max values used on histogram stretching. Min-Max histogram stretching was the selected method for implementation given that it appears to be the appropriate technique from the observation carried out. Experimental results show that, 60-240 Min- Max values, Haar classifier can accurately detect faces compared to the two values.

Original languageEnglish
Pages (from-to)163-172
Number of pages10
JournalPertanika Journal of Science and Technology
Volume25
Issue numberS6
Publication statusPublished - 1 Jun 2017

Fingerprint

histogram
Face recognition
Stretching
Noise
Classifiers
Observation
light effect
Light
computer vision
digital image
Research
image processing
Computer vision
visualization
Image processing
Visualization
digital images
Chemical analysis
image analysis
detection

Keywords

  • Face detection
  • Haar classifier
  • Normalisation

ASJC Scopus subject areas

  • Computer Science(all)
  • Chemical Engineering(all)
  • Environmental Science(all)
  • Agricultural and Biological Sciences(all)

Cite this

Performance comparison of min-max normalisation on frontal face detection using haar classifiers. / Saifuddin Saif, A. F.M.; Garba, Ali Garba; Awwalu, Jamilu; Arshad, Haslina; Zakaria, Lailatul Qadri.

In: Pertanika Journal of Science and Technology, Vol. 25, No. S6, 01.06.2017, p. 163-172.

Research output: Contribution to journalArticle

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