A new hough transform on face detection and recognition using integrated histograms

Bibliographic Details
Format: Restricted Document
_version_ 1860796943387590656
building INTELEK Repository
caption Journal of Applied Sciences
collection Online Access
collectionurl https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
date 2015-05-21 10:15:01
format Restricted Document
id 10774
institution UniSZA
originalfilename 4898-01-FH02-FIK-15-03564.pdf
person Zahraddeen Sufyanu
Fatma Susilawati Mohamad
Abdulganiyu Abdu Yusuf and Bashir Muhammad
recordtype oai_dc
resourceurl https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10774
spelling 10774 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10774 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf 9 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Zahraddeen Sufyanu Fatma Susilawati Mohamad Abdulganiyu Abdu Yusuf and Bashir Muhammad 2015-05-21 10:15:01 Journal of Applied Sciences Hough transform histogram feature detection face recognition template matching ED Hough transform histogram feature detection face recognition template matching ED 4898-01-FH02-FIK-15-03564.pdf UniSZA Private Access A new hough transform on face detection and recognition using integrated histograms Journal of Applied Sciences 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. 15 6 903-910
spellingShingle A new hough transform on face detection and recognition using integrated histograms
subject Hough transform
histogram
feature detection
face recognition
template matching
ED
summary 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.
title A new hough transform on face detection and recognition using integrated histograms
title_full A new hough transform on face detection and recognition using integrated histograms
title_fullStr A new hough transform on face detection and recognition using integrated histograms
title_full_unstemmed A new hough transform on face detection and recognition using integrated histograms
title_short A new hough transform on face detection and recognition using integrated histograms
title_sort new hough transform on face detection and recognition using integrated histograms