Development Of Face Recognition System Research Articles

Current legal status of devices with face recognition technology in ukrainian legislation

The article examines the legal status of face recognition devices in modern Ukrainian legislation. This issue is complex because these devices use biometric personal data of a person. Given that biometric personal data have certain properties – namely, the inability to change them at this technological level of human development, there is a need to protect the collected data more carefully than other personal data. Businesses quickly realized the benefits of this type of identification and verification. That is why the development of face recognition systems is growing all over the world, but a specialized legal framework is needed to regulate it.

Development of Face Recognition System based on Real-time Mini Drone Camera Images

Development of Face Recognition System based on Real-time Mini Drone Camera Images

A Comprehensive Database for Benchmarking Imaging Systems.

Cross-modality face recognition is an emerging topic due to the wide-spread usage of different sensors in day-to-day life applications. The development of face recognition systems relies greatly on existing databases for evaluation and obtaining training examples for data-hungry machine learning algorithms. However, currently, there is no publicly available face database that includes more than two modalities for the same subject. In this work, we introduce the Tufts Face Database that includes images acquired in various modalities: photograph images, thermal images, near infrared images, a recorded video, a computerized facial sketch, and 3D images of each volunteer's face. An Institutional Research Board protocol was obtained and images were collected from students, staff, faculty, and their family members at Tufts University. The database includes over 10,000 images from 113 individuals from more than 15 different countries, various gender identities, ages, and ethnic backgrounds. The contributions of this work are: 1) Detailed description of the content and acquisition procedure for images in the Tufts Face Database; 2) The Tufts Face Database is publicly available to researchers worldwide, which will allow assessment and creation of more robust, consistent, and adaptable recognition algorithms; 3) A comprehensive, up-to-date review on face recognition systems and face datasets.