Advantages And Disadvantages Of Face Recognition

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Face recognition is a technology that identifies or verifies automatically. Identify an individual image from the live image by comparing the image with the database which is stored in the database. After identify the face from the live image the facial features of the live image are also compared to facial features stored in the central database.

A facial recognition system is to detect the image of a person and compares the detected image with the database image. It does this by comparing structure, shape, distance between the eyes, nose, mouth and jaw etc. For facial recognition, several images are taken at different angles, pose and with different facial expressions. At time of verification and identification the detected image is compared
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Fingerprints are captured with much more difficulty and a significant proportion of the population has fingerprints that cannot be captured with quality sufficient for recognition. Another characteristic for a biometric is hard to claim. With this technology it’s very difficult to identify the twins since face shape, especially when young, is heavily influenced by genotype. Face recognition also has the advantage that the devices are cheap and are becoming a commodity though this is not true for non-visible wavelength devices and some of the face recognition technologies based on 3-dimensional data. The main drawbacks to face recognition is low accuracy compared to the performance of fingerprint and iris recognition. There are many features due to variations of images of a single face that add to the complexity of the recognition problem if they cannot be avoided by careful design of the capture situation. Due to some constraint or handling of such variability leads to failures in recognition. While recognize the face some Physical changes such as facial expression change, aging personal appearance such as make-up, glasses, facial hair, hairstyle, disguise. Geometry changes such as change in scale, location and in-plane rotation of the face, facing the camera, facing the camera obliquely, presentation of a profile, not in full-frontal …show more content…
Face detection and recognition is used in many applications, such as websites hosting images and social networking sites. Features extracted from a face image are processed and compared with processed faces present in the database. After the face is recognized it is known or the system may show a similar face existing in database else it is unknown. In a surveillance system some face occurs more than one time then it is stored in database for further recognition. These steps are very useful in criminal

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