Facial Recognition Systems, Is This an Effective Tool for Security?
April S Professor G P Wright BA 731 Business and Information Technology 08 December 2012
Facial Recognition Systems, Is this an effective tool for security? Facial Recognition software has been used in many atmospheres to assist in security. There has been controversy as to wither or not facial recognition is an accurate tool. The software has been in existence for many years but still can be defeated by criminals, terrorists, and even by citizens in general without malice. History of Facial Recognition Software. Between the years 1964 to 1965; facial recognition started in its infancy by Woody Bledsoe, Helen Chan Wolf, and Charles Bisson. The project name man-machine utilized mug shot photos, the operator would obtain the features of a person such as the center of pupils, inside & outside corners of the eyes, points of widows peaks, forehead height, chin features and so on. The software measured the distances between twenty different points of the face, such as; width of eyes, width from pupil to pupil, width of mouth, and various others. The problem with this concept is the difficulty of measuring the features would change as the face is tilted or rotated. Lighting was also a major factor in the accuracy of measuring the features to match a 2D photo. Testing is being conducted. The software has recent improvements to address past issues as well as keep up with the technology of today. In 2006, the [2] National Institute of Standards and Technology (NIST) conducted numerous testing sponsored by multiple U.S. Government agencies. One of the priority testing was on the algorithm development project which was designed to advance facial recognition technology and support previous developed software. In the recent news, in September 2012, [3] The Federal Bureau of Investigation (FBI) begins installation of a $1 billion facial recognition system in America in an effort to increase information and sharing in support of
Facial Recognition Systems, Is this an effective tool for security? Facial Recognition software has been used in many atmospheres to assist in security. There has been controversy as to wither or not facial recognition is an accurate tool. The software has been in existence for many years but still can be defeated by criminals, terrorists, and even by citizens in general without malice. History of Facial Recognition Software. Between the years 1964 to 1965; facial recognition started in its infancy by Woody Bledsoe, Helen Chan Wolf, and Charles Bisson. The project name man-machine utilized mug shot photos, the operator would obtain the features of a person such as the center of pupils, inside & outside corners of the eyes, points of widows peaks, forehead height, chin features and so on. The software measured the distances between twenty different points of the face, such as; width of eyes, width from pupil to pupil, width of mouth, and various others. The problem with this concept is the difficulty of measuring the features would change as the face is tilted or rotated. Lighting was also a major factor in the accuracy of measuring the features to match a 2D photo. Testing is being conducted. The software has recent improvements to address past issues as well as keep up with the technology of today. In 2006, the [2] National Institute of Standards and Technology (NIST) conducted numerous testing sponsored by multiple U.S. Government agencies. One of the priority testing was on the algorithm development project which was designed to advance facial recognition technology and support previous developed software. In the recent news, in September 2012, [3] The Federal Bureau of Investigation (FBI) begins installation of a $1 billion facial recognition system in America in an effort to increase information and sharing in support of
References: [1] Facial Recognition System." Last Updated November 12, 2012: <http://en.wikipedia.org/wiki/Facial_recognition_system>. [2] "Face Recognition Vendor Test 2006." Last updated February 15, 2011 [5] RT.com, . (September 25, 2012): n. page. Web. 14 Nov. 2012. <http://rt.com/usa/news/license-jersey-recognition-face-956/>. [6] Alwis, Sujeewa [10] Reisinger, Don. "CNET News Mobil." CNET News Mobil. (September 5, 2012): n. page. Web. 3 Dec. 2012. <http://news.cnet.com/8301-1035_3-57506457-94/google-wins-patent-on-face-to-unlock-feature/>. [11] Eaton, Kit. (July 24, 2011): n. page. Web. 3 Dec. 2012. <http://www.fastcompany.com/1768963/how-googles-new-face-recognition-tech-could-change-webs-future>. [16] Smith, Gerry. "Facial Recognition Technology Raising Privacy, Civil Liberties, Experts Warn." Huffington Post. (July 18, 2012): n. page. Web. 8 Dec. 2012. <http://www.huffingtonpost.com/2012/07/18/facial-technology_n_1684445.html>.