Document Type
Original Study
Keywords
Computer Engineering
Abstract
Face recognition is one of the most important research fields of the last two decades. This is due to the actual use of this technology in automatic detection and monitoring systems. Face attribute and features recognition from images is still a challenge. In this paper, face image recognition is proposed upon local face image rather than focusing on the whole image recognition by applying preprocessing techniques and Viola-Jones method. Principal Component Analysis (PCA) method is used in order to extract the needed features. Experiments show satisfied and more accurate results achieved by the proposed system comparing to Face recognition is one of the most important research fields of the last two decades. This is due to the actual use of this technology in automatic detection and monitoring systems. Face attribute and features recognition from images is still a challenge. In this paper, face image recognition is proposed upon local face image rather than focusing on the whole image recognition by applying preprocessing techniques and Viola-Jones method. Principal Component Analysis (PCA) method is used in order to extract the needed features. Experiments show satisfied and more accurate results achieved by the proposed system comparing tonthe existing systems.
How to Cite This Article
Ibrahim, Suhad; Jaafar, Noor Abdulmuttaleb; and Hussien, Kilan Mohammed
(2018)
"Face Recognition Based on Viola-Jones Face Detection Method and Principle Component Analysis (PCA),"
Iraqi Journal of Computers, Communications, Control and Systems Engineering: Vol. 18:
Iss.
3, Article 6.
DOI: 10.33103/uot.ijccce.18.3.6
Available at:
https://ijccce.researchcommons.org/journal/vol18/iss3/6