FACE RECOGNITION TECHNOLOGY. A SEMINAR REPORT. AJIT KUMAR ASHWANI. In partial fulfillment for the award of the degree. BACHELOR OF TECHNOLOGY. Face Recognition Technology seminar report - Download as Word Doc (.doc), PDF File (.pdf), Text File (.txt) or read online.

Machine recognition of human faces from still or video images has attracted a great deal of attention in the psychology, image processing, pattern recognition, neural science, computer security, and computer vision communities. Face recognition is probably one of the most non-intrusive and user-friendly biometric authentication methods currently available; a screensaver equipped with face recognition technology can automatically unlock the screen whenever the authorized user approaches the computer. Face is an important part of who we are and how people identify us.

It is arguably a person's most unique physical characteristic. While humans have had the innate ability to recognize and distinguish different faces for millions of years, computers are just now catching up.

Visionics, a company based in New Jersey, is one of many developers of facial recognition technology. The twist to its particular software, FaceIt, is that it can pick someone's face out of a crowd, extract that face from the rest of the scene and compare it to a database full of stored images. In order for Face Recognition Technology software to work, it has to know what a basic face looks like.

Facial recognition software is designed to pinpoint a face and measure its features. Each face has certain distinguishable landmarks, which make up the different facial features. These landmarks are referred to as nodal points. There are about 80 nodal points on a human face. Niit Courseware Books. Here are a few of the nodal points that are measured by the software: Distance between eyes ' Width of nose ' Depth of eye sockets ' Cheekbones ' Jaw line ' Chin. These nodal points are measured to create a numerical code, a string of numbers that represents the face in a database.

This code is called a faceprint. Only 14 to 22 nodal points are needed for the FaceIt software to complete the recognition process. Software of Face Recognition Technology Facial recognition software falls into a larger group of technologies known as biometrics.

Biometrics uses biological information to verify identity. The basic idea behind biometrics is that our bodies contain unique properties that can be used to distinguish us from others. Besides facial recognition, biometric authentication methods also include: ' Fingerprint scan ' Retina scan ' Voice identification Facial recognition methods generally involve a series of steps that serve to capture, analyze and compare a face to a database of stored images. The basic processes used by the FaceIt system to capture and compare images are: 1.Detection - When the system is attached to a video surveillance system, the recognition software searches the field of view of a video camera for faces. If there is a face in the view, it is detected within a fraction of a second. A multi-scale algorithm is used to search for faces in low resolution.

The system switches to a high-resolution search only after a head-like shape is detected. Alignment - Once a face is detected, the system determines the head's position, size and pose. A face needs to be turned at least 35 degrees toward the camera for the system to register it. Normalization - The image of the head is scaled and rotated so that it can be registered and mapped into an appropriate size and pose.

Normalization is performed regardless of the head's location and distance from the camera. Light does not impact the normalization process. Representation - The system translates the facial data into a unique code. This coding process allows for easier comparison of the newly acquired facial data to stored facial data.

Matching - The newly acquired facial data is compared to the stored data and (ideally) linked to at least one stored facial representation.

Face Recognition Technology Seminar and PPT with pdf report: Everyday actions are increasingly being handled electronically, instead of pencil and paper or face to face. A face recognition technology is used to automatically identify a person through a digital image. This page contains Face Recognition Technology Seminar and PPT with pdf report. Face Recognition Technology Seminar Report ppt and pdf It is mainly used in security systems. The face recognition will directly capture information about the shapes of faces. The main advantage of facial recognition is it identifies each individual’s skin tone of a human face’s surface, like the curves of the eye hole, nose, and chin, etc. Implementation There four stages of Face Recognition Technology • Image acquisition • Image processing • Distinctive characteristic location • Template creation • Template matching Applications • Replacement of PIN, physical tokens • No need of human assistance for identification • Prison visitor systems • Border control • Voting system • Computer security • Banking using ATM • Physical access control of buildings,areas etc.