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  1. Journal of Applied Sciences
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  3. 903-910
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Journal of Applied Sciences

Year: 2015 | Volume: 15 | Issue: 6 | Page No.: 903-910
DOI: 10.3923/jas.2015.903.910

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Authors


Zahraddeen Sufyanu

Country: Malaysia

Fatma Susilawati Mohamad

Country: Malaysia

Abdulganiyu Abdu Yusuf

Country: Malaysia

Bashir Muhammad

Country: Nigeria

Keywords


  • template matching
  • Hough transform
  • histogram
  • face detection
  • feature recognition
  • ED
Research Article

A New Hough Transform on Face Detection and Recognition Using Integrated Histograms

Zahraddeen Sufyanu, Fatma Susilawati Mohamad, Abdulganiyu Abdu Yusuf and Bashir Muhammad
Hough Transform (HT) is one of the useful algorithms in pattern recognition. It is popularly used to detect straight lines, circles and curves in images. This study discovered a new feature detection and extraction using the HT. The intensity of the input image was enhanced and histogram plot of the stretched image was obtained. However, HT functions perform transformation of Hough matrix, locate peak values and superimpose a plot on the features representing the original image. Hence, face features were detected and the extracted features proceeded for verification. Cross Correlation Technique (CCT) and Euclidean Distance (ED) were computed to determine the similarity between test images and neutral image. The experiment on FEI face database demonstrated the effectiveness of the new technique and obtained recognition with minimal error. Furthermore, the application of HT was improved and the benefits of the proposed algorithm were verified. It is believed that, the discovery is new in the domain.
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How to cite this article

Zahraddeen Sufyanu, Fatma Susilawati Mohamad, Abdulganiyu Abdu Yusuf and Bashir Muhammad, 2015. A New Hough Transform on Face Detection and Recognition Using Integrated Histograms. Journal of Applied Sciences, 15: 903-910.

DOI: 10.3923/jas.2015.903.910

URL: https://scialert.net/abstract/?doi=jas.2015.903.910

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