03-01-2010, 12:07 PM
PLS give me more details about 'Face Recognition Technology' seminar paper...
03-01-2010, 12:07 PM
PLS give me more details about 'Face Recognition Technology' seminar paper...
03-01-2010, 01:03 PM
please read https://seminarproject.net/Thread-face-r...nar-report for Face Recognition Technology' seminar paper. and report and more
17-08-2012, 02:57 PM
Face Recognition Technology
FACE_RECOGNITION_TECHNOLOGY.pdf (Size: 225.38 KB / Downloads: 35) INTRODUCTION The information age is quickly revolutionizing the way transactions are completed. Everyday actions are increasingly being handled electronically, instead of with pencil and paper or face to face. This growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use PIN's for identification and security clearences. Using the proper PIN gains access, but the user of the PIN is not verified. When credit and ATM cards are lost or stolen, an unauthorized user can often come up with the correct personal codes. Despite warning, many people continue to choose easily guessed PIN's and passwords: birthdays, phone numbers and social security numbers. Recent cases of identity theft have hightened the nee for methods to prove that someone is truly who he/she claims to be. Face recognition technology may solve this problem since a face is undeniably connected to its owner expect in the case of identical twins. Its nontransferable. The system can then compare scans to records stored in a central or local database or even on a smart card. What are biometrics? A biometric is a unique, measurable characteristic of a human being that can be used to automatically recognize an individual or verify an individual’s identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from direct measurement of a part of the human body) include: Finger-scan Facial Recognition Iris-scan Retina-scan Hand-scan FACE RECOGNITION THE FACE: The face is an important part of who you are and how people identify you. Except in the case of identical twins, the face is arguably a person's most unique physical characteristics. While humans have the innate ability to recognize and distinguish different faces for millions of years , computers are just now catching up. For face recognition there are two types of comparisons .the first is verification. This is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The second is identification. This is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. All identification or authentication technologies operate using the following four stages: capture: a physical or behavioural sample is captured by the system during enrollment and also in identification or verification process. Extraction: unique data is extracted from the sample and a template is created. Comparison: the template is then compared with a new sample. Match/non match : the system decides if the features extracted from the new sample are a match or a non match. CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS The image is optical in characteristics and may be thought of as a collection of a large number of bright and dark areas representing the picture details. At an instant there will be large number of picture details existing simultaneously each representing the level of brightness of the scene to be reproduced. In other words the picture information is a function of two variables: time and space. Therefore it would require infinite number of channels to transmit optical information corresponding to picture elements simultaneously. There are practical difficulty in transmitting all information simultaneously so we use a method called scanning. Here the conversion of optical information to electrical form and its transmission is carried out element by element one at a time in a sequential manner to cover the entire image. A TV camera converts optical information into electrical information, the amplitude of which varies in accordance with variation of brightness. An optical image of the scene to be transmitted is focused by lense assembly on the rectangular glass plate of the camera tube. The inner side of this has a transparent coating on which is laid a very thin layer of photoconductive material. The photolayer has very high resistance when no light is falling on it but decreases depending on the intensity of light falling on it. An electron beam is formed by an electron gun in the TV camera tube. This beam is used to pick up the picture information now avilable on the target plate of varying resistace at each point. Input processing: A pre-processing module locates the eye position and takes care of the surrounding lighting condition and colour variance. First the presence of faces or face in a scene must be detected. Once the face is detected, it must be localized and normalization process may be required to bring the dimensions of the live facial sample in alignment with the one on the template. Some facial recognition approaches use the whole face while others concentrate on facial components and/ or regions(such as lips, eyes etc). the appearance of the face can change considerably during speech and due to facial expressions. In particular the mouth is subjected to fundemental changes but is also very important source for discriminating faces. So an approach to persons recognition is developed based on spatio-temporal modeling of features extracted from talking face. Models are trained specific to a persons speech articulate and the way that the person speaks. Person identification is performed by tracking mouth movements of the talking face and by estimating the likelyhood of each model of having generated the observed sequence of features. The model with the highest likelyhood is chosen as the recognized person. |
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