facial recognition using labview

FACIAL RECOGNITION TECHNIQUE FOR SECURITY LOCKING USING LABVIEW AND NI-VISION ABSTRACT Face recognition is a fascinating topic in the field of computer vision. There are already many face recognition algorithms that exist today, where each has its merits and weakness. One of the most important goals of computer vision is to achieve visual recognition ability comparable to that of human .This project describes an approach in developing a face recognition program using LabVIEW programming language and NI (NATIONAL INSTRUMENTS) Vision Development Module. It has opened a new age for human kind to enter into a new world, commonly known as the technological world. From last two decades, its potential applications, such as in the areas of surveillance, closed circuit television (CCTV) control, (HCI) Human Computer Interface, intelligent robot and so on… It has gained increasing interests over the years, especially for biometrics identification and authentication applications in the homeland security . Complex face authentication and recognition systems are very costly, and hence the challenge is to develop a PC-based face recognition system with sufficient reliability at much lower cost. The implementation of the Face Recognition System (FRS) can be subdivided into two main parts. The first part is image processing and the second part is recognition techniques. The main advantages of face recognition scheme is its speed and simplicity, learning capacity and relative insensitivity to small or gradual changes in the face image. Technological advancements in semiconductor wafers manufacturing have resulted in cheaper microprocessors and computers. LabVIEW’s graphical programming environment helps programmer to visualize the program flow, develop and debug easier. Also, as many engineering process and

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Page 1: Facial Recognition Using LabVIEW

FACIAL RECOGNITION TECHNIQUE FOR SECURITY LOCKING USING LABVIEW AND NI-VISION

ABSTRACT

Face recognition is a fascinating topic in the field of computer vision. There are already many face recognition algorithms that exist today, where each has its merits and weakness. One of the most important goals of computer vision is to achieve visual recognition ability comparable to that of human .This project describes an approach in developing a face recognition program using LabVIEW programming language and NI (NATIONAL INSTRUMENTS) Vision Development Module. It has opened a new age for human kind to enter into a new world, commonly known as the technological world.

From last two decades, its potential applications, such as in the areas of surveillance, closed circuit television (CCTV) control, (HCI) Human Computer Interface, intelligent robot and so on… It has gained increasing interests over the years, especially for biometrics identification and authentication applications in the homeland security . Complex face authentication and recognition systems are very costly, and hence the challenge is to develop a PC-based face recognition system with sufficient reliability at much lower cost. The implementation of the Face Recognition System (FRS) can be subdivided into two main parts. The first part is image processing and the second part is recognition techniques.

The main advantages of face recognition scheme is its speed and simplicity, learning capacity and relative insensitivity to small or gradual changes in the face image. Technological advancements in semiconductor wafers manufacturing have resulted in cheaper microprocessors and computers. LabVIEW’s graphical programming environment helps programmer to visualize the program flow, develop and debug easier. Also, as many engineering process and algorithms are presented in flow diagrams, implementing them in LabVIEW is simpler and faster as they naturally correspond to LabVIEW’s block diagrams and the use of subVIs.