The future of biometrics technology: from face recognition to related applications

Abstract

Biometric recognition technologies have become more important in the modern society due to their convenience with the recent informatization and the dissemination of network services. Among such technologies, face recognition is one of the most convenient and practical because it enables authentication from a distance without requiring any authentication operations manually. As far as we know, face recognition is susceptible to the changes in the appearance of faces due to aging, the surrounding lighting, and posture. There were a number of technical challenges that need to be resolved. Recently, remarkable progress has been made thanks to the advent of deep learning methods. In this position paper, we provide an overview of face recognition technology and introduce its related applications, including face presentation attack detection, gaze estimation, person re-identification and image data mining. We also discuss the research challenges that still need to be addressed and resolved.

Bioinformation Control Regimes and Protections: Based on the Biometric Information Privacy Act in Illinois

“…In current society for most formal applications and websites, users could authorize the background to collect and store their private information including the biological ones. But it could not be denied that some companies bundle the collection of biometric information with consumption and software applications, forcing the public to voluntarily give up the control and protection of information [7].…”

Heart Rate and Oxygen Saturation Estimation from Facial Video with Multimodal Physiological Data Generation

“…First, we apply a face alignment method [32] to a facial video and detect the facial landmarks (indicated by the green points on the left side of Fig. 3).…”

Applications of biometrics, histometrics and cytometrics in deep learning

“…1 Currently, person identification has been done with face recognition technology, and fingerprint technology. [2][3][4] Person identification with face recognition technology, including person reidentification, face gaze estimation, presentation attack detection, and image data mining. 2 In addition, several techniques for automatic person identification have been done, such as eye-tracking, voice recognition, and radio frequency identification (RFID).…”

“…[2][3][4] Person identification with face recognition technology, including person reidentification, face gaze estimation, presentation attack detection, and image data mining. 2 In addition, several techniques for automatic person identification have been done, such as eye-tracking, voice recognition, and radio frequency identification (RFID). Nonetheless, the most common facial characteristics used for identity authentication.…”