System and method for utilizing facial recognition technology for identifying an unknown individual from a digital image
View Patent ↗A method and system for of identifying an unknown individual from a digital image is disclosed herein. In one embodiment, the present invention allows an individual to photograph a facial image an unknown individual, transfer that facial image to a server for processing into a feature vector, and then search social networking Web sites to obtain information on the unknown individual. The Web sites comprise myspace.com, facebook.com, linkedin.com, www.hi5.com, www.bebo.com, www.friendster.com, www.igoogle.com, netlog.com, and orkut.com. A method of networking is also disclosed. A method for determining unwanted individuals on a social networking website is also disclosed.
1. A system for utilizing facial recognition technology for identifying an unknown individual, the system comprising:
receiving at a server, from a camera, a digital unknown facial image of an individual;
analyzing, at the server, the unknown facial image to determine if the unknown facial image is of adequate quality prior to image recognition processing of the unknown facial image, wherein, adequate quality is determined by a plurality of facial image factors comprising eyes closed, brightness of the facial image, shading of the facial image, pose angle of the facial image, and obscured facial features of the facial image;
wherein, when the unknown facial image is not of adequate quality, comparing, at the server, a primary feature vector to a plurality of database processed images comprising a plurality of database feature vectors; matching, at the server, the primary feature vector to a database primary feature of the plurality of database feature vectors to create matched images; and sending, at the
server, information associated with the matched images indicating that a better matched image may be possible with a higher quality digital unknown facial image; and
when the unknown facial image is of adequate quality, processing, at the server, the
unknown facial image to create a processed image, wherein the processed image comprising a
primary feature vector, wherein the primary feature vector of the processed image is determined by a plurality of facial image factors comprising eyes closed, brightness of the facial image, shading of the facial image, pose angle of the facial image, and obscured facial features of the facial image; comparing, at the
server, the primary feature vector of the processed image to a plurality of database processed images comprising a
plurality of database feature vectors; and matching, at the server, the primary feature vector of the processed image to a database primary feature vector of the plurality of database feature vectors to create matched images.
2. The system according to claim 1 wherein the database processed image includes a facial image of an individual from a Web page of a Web site, the Web page containing personal information of the individual.
3. The system according to claim 2 wherein the Web page further includes a uniform resource locator for the Web page.
4. The system according to claim 3 further comprising transmitting, from the server, the database processed image, the personal information of the individual, and the uniform resource locator for the Web page over the network.
5. The system according to claim 1 wherein the processing, at the server, the unknown facial image to create a processed image only occurs if at least two or more facial image factors are of adequate quality.
6. The system according to claim 1 further comprising:
when the unknown facial image is not of adequate quality, receiving, at the server, a second digital unknown facial image of an individual to analyze.
7. A system for utilizing facial recognition technology for identifying an unknown individual, the system comprising:
receiving at a server, from a camera, a digital unknown facial image of an individual;
analyzing, at the server, the unknown facial image to determine if the unknown facial image is of adequate quality prior to image recognition processing of the unknown facial image, wherein, adequate quality is determined by a plurality of facial image factors comprising eyes closed, brightness of the facial image, shading of the facial image, pose angle of the facial image, and obscured facial features of the facial image;
determining, at the server, whether the unknown facial image is or is not of adequate quality,
wherein, in response to determining that the unknown facial image is not of adequate
quality, comparing, at the server, the primary feature vector to a plurality of database processed images comprising a plurality of database feature vectors; matching, at the server, a primary feature vector to a database primary feature of the plurality of database feature vectors to create
matched images; and sending, at the server, information associated with the matched images indicating that a better matched image may be possible with a higher quality digital unknown facial image; and
in response to determining that the unknown facial image is of adequate quality,
processing, at the server, the unknown facial image to create a processed image
comprising a primary feature vector,
wherein the primary feature vector of the processed image is determined by a plurality of facial image factors comprising eyes closed, brightness of the facial image, shading of the facial image, pose angle of the facial image, and obscured facial features of the facial image;
comparing, at the server, the primary feature vector of the processed image to a plurality of database processed images comprising a plurality of database feature vectors; and
matching, at the server, the primary feature vector of the processed image to a database primary feature vector of the plurality of database feature vectors to create matched images.
8. The system according to claim 7 further comprising:
in response to determining that the unknown facial image is not of adequate quality, requesting, from the server, a second digital unknown facial image of an individual to analyze.
9. The system according to claim 2 wherein the Web site is a publicly available Web site.
10. The system according to claim 2 wherein the personal information of the individual comprises the individual's name, address, telephone number, email address, age, school, friends, favorite entertainments and/or favorite foods.
11. The system according to claim 1 wherein the camera is a camera phone.
12. The system according to claim 1 further comprising crawling a plurality of Web sites for images of individuals to process each of the images to add to the databases of processed images, each of the images of the databases of processed images having a tag for linking to the Web site pertaining to the image.
13. The system according to claim 7 wherein the visibility of facial features around the eyes of the facial image is a grouping of facial image factors that include at least one of: eyes closed, sunglasses worn, distance between the eyes, distance between the center of the eyes to the chin, size and shape of eyebrows, and eye color.
14. The system according to claim 7 wherein the visibility of other facial features of the facial image is a grouping of facial image factors that include at least one of: brightness, shading, obscured facial features, facial expression, hair style, and hair color.
15. The system according to claim 1 wherein the plurality of facial image factors include at least one of: sunglasses worn, distance between the eyes, distance between the center of the eyes to the chin, size and shape of eyebrows, and eye color.
16. The system according to claim 1 wherein obscured facial features of the facial image is a grouping of facial image factors that include at least one of: brightness, shading, obscured facial features, facial expression, hair style, and hair color.