Face Recognition Based on Viola-Jones Face Detection Method and Principle Component Analysis (PCA) | ||
| IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING | ||
| Article 6, Volume 18, Issue 3, December 2018, Pages 52-59 PDF (564.44 K) | ||
| Authors | ||
| Suhad Ibrahim Mohammed; Noor Abdulmuttaleb Jaafar; Kilan Mohammed Hussien | ||
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| 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 the existing systems. | ||
| Keywords | ||
| Face image Recognition; PCA; Viola-Jones; MUCT; feature extraction | ||
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