Face is a complex multidimensional visual model and developing a computational model for
face recognition is difficult. The paper presents a methodology for face recognition based on …

Face Recognition is a common problem in Machine Learning. This technology has already
been widely used in our lives. For example, Facebook can automatically tag people's faces …

In this paper, the authors propose a scheme for human face recognition in complex
environments. The proposed scheme consists of three phases: moving object removal, face …

As we know in urban areas now a day the voting system is getting most complicated only
because of the person's identity. They only have the voting card as a proof of identification …

The paper presents a novel model of hybrid biometric-based authentication. Currently, the
recognition accuracy of a single biometric verification system is often much reduced due to …

By implementing authentication, it can ensure that system's resources are not obtained
fraudulently by illegitimate users. Currently, most commonly used for door access controls is …

Face recognition is one of the most important biometrics in computer vision and it has been
broadly employed in the area such as surveillance, information security, identification, and …

In the digital signal processing (DSP) adders have higher precedence. Adders are the basic
blocks of the digital signal processing chips and are of different types. The different types of …

For the past few decades, research on human face recognition has been ongoing. Face
recognition has grown significantly in popularity as a result of its usage in the processing of …

In the field of image processing and computer vision face recognition is one of the most
studied research domain. It has large variety of applications in different areas like security …