Real Time Face Recognition Technique for Institutional Healthcare’s Security System | ||||
| SVU-International Journal of Engineering Sciences and Applications | ||||
| Volume 4, Issue 2, December 2023, Page 173-179 PDF (537.35 K) | ||||
| Document Type: Original research articles | ||||
| DOI: 10.21608/svusrc.2023.197063.1109 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Madina Ah-Ali Dhawalbeit; Areej Ali.Moh SK; Emtithal Ahmed; Moh Alfadel Golam allh | ||||
| Sudan International University, Khartoum, Sudan | ||||
| Abstract | ||||
| Security is very critical in daily lifestyles, especially inside the healthcare field. The facial recognition machine changed into utilized, which is one of the biometric information processes. Its utility is less complicated than that of different biometric information processes which includes fingerprints, iris scans, signatures, etc... The accurately and successfully discover human beings has usually been an interesting topic, in research and in industry. With the rapid development of artificial intelligence in recent years, facial recognition profits an increasing number of attentions in security applications. Face recognition has many blessings, such as but restrict to non-touch, high concurrency, and person pleasant. The system entails a combination of techniques in two components: The Biometric pattern recognition algorithms is a facial recognition system that is based on a Haar-like feature detection algorithm (LBP) simplest stay obtained algorithm are used for face detection. Three persons test the system with a database developed in the OpenCV library. This system presents appropriate overall performance for figuring out faces in the desired bounds and establishing the door to an identified person is known or unknown of the system. | ||||
| Keywords | ||||
| Biometric; Facial Recognition System; Haar-Like Feature; (LBP); OpenCV library | ||||
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