facial recognition system

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By Nayan Chauhan B.C.A 1 st Year. Saint Angelo’s Of I.T. November 23, 2011 1 Saint Angelo's Institute Of Information Technology

Slide 2: 

November 23, 2011 2 Saint Angelo's Institute Of Information Technology

What is it ?: 

What is it ? A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems. November 23, 2011 3 Saint Angelo's Institute Of Information Technology

Techniques: 

Techniques Some facial recognition algorithms identify faces by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or shape of the eyes, nose, cheekbones, and jaw. These features are then used to search for other images with matching features. Other algorithms normalize a gallery of face images and then compress the face data, only saving the data in the image that is useful for face detection. A probe image is then compared with the face data. One of the earliest successful systems is based on template matching techniques applied to a set of salient facial features, providing a sort of compressed face representation. November 23, 2011 4 Saint Angelo's Institute Of Information Technology

Close-up of the infrared illuminator. This light is invisible to the human eye but it creates a day-like environment for the surveillance cameras.: 

Close -up of the infrared illuminator. This light is invisible to the human eye but it creates a day-like environment for the surveillance cameras. November 23, 2011 5 Saint Angelo's Institute Of Information Technology

3-D: 

3-D A newly emerging trend, claimed to achieve previously unseen accuracies, is three-dimensional face recognition. This technique uses 3-D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin. One advantage of 3-D facial recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from a range of viewing angles, including a profile view. Even a perfect 3D matching technique could be sensitive to expressions. For that goal a group at the Technion applied tools from metric geometry to treat expressions as isometries November 23, 2011 6 Saint Angelo's Institute Of Information Technology

3-D facial recognition : 

3 -D facial recognition November 23, 2011 7 Saint Angelo's Institute Of Information Technology

Skin texture analysis: 

Skin texture analysis Another emerging trend uses the visual details of the skin, as captured in standard digital or scanned images. This technique, called skin texture analysis, turns the unique lines, patterns, and spots apparent in a person ’ s skin into a mathematical space. Tests have shown that with the addition of skin texture analysis, performance in recognizing faces can increase 20 to 25 percent. November 23, 2011 8 Saint Angelo's Institute Of Information Technology

Skin texture analysis: 

Skin texture analysis November 23, 2011 9 Saint Angelo's Institute Of Information Technology

Software: 

Software Google's Picasa digital image organizer has a built in face recognition system starting from version 3.5 onwards. It can associate faces with persons, so that queries can be run on pictures to return all pictures with a specific group of people together. Picasaweb.com has also been providing a similar feature to its users. Apple iPhoto, photo organizer distributed with iLife suite of applications includes a system using which people can tag recognized people on photos. Then they can be searched using Spotlight. Sony's Picture Motion Browser (PMB) analyses photo, associates photos with identical faces so that they can be tagged accordingly, and differentiates between photos with one person, many persons and nobody. November 23, 2011 10 Saint Angelo's Institute Of Information Technology

Iphoto face recognition.: 

I photo face recognition . November 23, 2011 11 Saint Angelo's Institute Of Information Technology

Google's Picasa digital image organizer: 

Google's Picasa digital image organizer November 23, 2011 12 Saint Angelo's Institute Of Information Technology

Notable users and deployments: 

Notable users and deployments The London Borough of Newham, in the UK, previously trialled a facial recognition system built into their borough-wide CCTV system. The German Federal Police use a facial recognition system to allow voluntary subscribers to pass fully automated border controls at Frankfurt Rhein-Main international airport. Subscribers need to be European Union or Swiss citizens. [ citation needed ] Since 2005 the German Federal Criminal Police Office offers centralized facial recognition on mugshot images for all German police agencies. Recognition systems are also used by casinos to catch card counters and other blacklisted individuals. November 23, 2011 13 Saint Angelo's Institute Of Information Technology

Additional uses: 

Additional uses In addition to being used for security systems, authorities have found a number of other applications for facial recognition systems. While earlier post 9/11 deployments were well publicized trials, more recent deployments are rarely written about due to their covert nature. At Super Bowl XXXV in January 2001, police in Tampa Bay, Florida, used Identix' facial recognition software, FaceIt, to search for potential criminals and terrorists in attendance at the event. (it found 19 people with pending arrest warrants) November 23, 2011 14 Saint Angelo's Institute Of Information Technology

Weaknesses: 

Weaknesses Face recognition is not perfect and struggles to perform under certain conditions. Ralph Gross, a researcher at the Carnegie Mellon Robotics Institute, describes one obstacle related to the viewing angle of the face: "Face recognition has been getting pretty good at full frontal faces and 20 degrees off, but as soon as you go towards profile, there've been problems. ” November 23, 2011 15 Saint Angelo's Institute Of Information Technology

Thank you. : 

Thank you. Feel free to question me your doubts  November 23, 2011 16 Saint Angelo's Institute Of Information Technology