Сравнительный анализ алгоритма обнаружения лиц

Аннотация

This article provides information on creating a face recognition program using different algorithms, including Viola-Jones, Haar, LBP, Cnn algorithms. Face recognition is currently used in many fields. For example, it is used in checking the attendance of employees in enterprises or organizations, students in schools, as well as students in higher education, control of residences, identification and other areas. This face detection algorithm mainly works on the basis of analyzing images, determining its features and composition, and then recognizing and studying the main anatomical elements of the detected face. We will create this program using python programming language. This review aims to understand the face detection algorithm, explain its advantages and limitations, features, and areas of general application. The original smart recognition mainly used its uniqueness to scan and contrast finger and palm lines, but due to some weather reasons or the limitations of skin texture due to skin texture, these methods showed certain limitations. This article presents the use of algorithms in face recognition, their advantages and disadvantages.