| dc.description.abstract | Facial detection is an important initial stage which is needed by various types
of application of computer vision, biometric system, ond various types of multtmedia
application such as facial tracking, facial recognition, and video surveillance. In this
research, a rapid system of facial detection was proposed and analyzed by using
Adaptive Linear Neuron (ADALINE). The system was established from conditioning
image by applying sobel operator, and then apply@ Wifuow-Hoffleuning method
The working method of the system was evaluated, based on two parameters of
working method: detection rate and false positive rate. The result of the evaluation
showed that the performance of the system hod detection rate from about 65%o to
90%. In order to increase the quality of the work method of the system for the future
researches, the established system can be combined with one of the followtng: the test
ofvtdeo complexity, segmentation of sktn color, and statistical test. | en_US |
