Biometrics: Facial Recognition

Biometrics, a biological measurement and refers to the automatic identification of a person based on his or her physiological or psychological characteristics. This project defines biometrics and its application in the real world focusing the study on facial recognition. Facial recognition is the identification of an individual based on the facial data characteristics such as facial features and face position. The objective of this project is to develop a program which could verify a face when compared to a database of known faces by using MATLAB. This project also explains the details of facial recognition especially on the four main facial recognition categories and other components related in characterizing a face. It also lists the various approaches in handling facial recognition where we see different methods applied and opinions on which method is better and what factors influenced them. Among the various approaches, eigenface technique is explained in detail including its work procedure, algorithm and the tools applied. Main part of this project discussed on the project findings. The result and output produced is elaborated according to the sequence of the program developed where many face images displayed. Finally, this project reviews the relevancy of the study contents with the objectives and listed out some recommendation for further work expansion

Biometrics: Facial Recognition

Biometrics, a biological measurement and refers to the automatic identification of a person based on his or her physiological or psychological characteristics. This project defines biometrics and its application in the real world focusing the study on facial recognition. Facial recognition is the identification of an individual based on the facial data characteristics such as facial features and face position. The objective of this project is to develop a program which could verify a face when compared to a database of known faces by using MATLAB. This project also explains the details of facial recognition especially on the four main facial recognition categories and other components related in characterizing a face. It also lists the various approaches in handling facial recognition where we see different methods applied and opinions on which method is better and what factors influenced them. Among the various approaches, eigenface technique is explained in detail including its work procedure, algorithm and the tools applied. Main part of this project discussed on the project findings. The result and output produced is elaborated according to the sequence of the program developed where many face images displayed. Finally, this project reviews the relevancy of the study contents with the objectives and listed out some recommendation for further work expansion