Face Detection in a Multimodal Background for Missing People

Abstract

 Facial recognition is an application in computers that can recognize, track, identify, or verify human faces from images or videos captured by digital cameras. While great progress has been made in the field of facial recognition and recognition for security, identity verification, and attendance purposes, progress to reach or exceed human-level accuracy is still problematic. Biometric facial recognition has been implemented in various schools, colleges, and offices, but there are still a few issues to be resolved. These problems are variations on the appearance of the human face, such as: Poses, facial image noise, different lighting conditions, scale, etc. Other concerns include recognition errors, privacy, and data misuse.