Eve32_Quicklook_Report

Eve32_Quicklook_Report - QUICKLOOK TECHNOLOGY ASSESSMENT...

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QUICKLOOK TECHNOLOGY ASSESSMENT Eve32 Facial Recognition System Dogan, Mert Mayur Sampath, Surakshith Modi, Dhrumil Sadhani, Keyur TECHNOLOGY COMMERCIALIZATION MGMT 632 – 600 5/3/2010
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Page 2 TABLE OF CONTENTS CHAPTER 1 – TECHNOLOGY DESCRIPTION 3 CHAPTER 2 – ADVANTAGES AND POTENTIAL BENEFITS 5 CHAPTER 3 – POTENTIAL MARKETS 6 CHAPTER 4 – MARKET INTEREST 10 CHAPTER 5 – BARRIERS TO MARKET ENTRY 11 CHAPTER 6 – TECHNOLOGY DEVELOPMENT STATUS 12 CHAPTER 7 – PATENT STATUS OF TECHNOLOGY 12 CHAPTER 8 – COMPETING TECHNOLOGY AND COMPETITORS 12 CHAPTER 9 – RECOMMENDATION 13 CHAPTER 10 – INTERVIEW SUMMARIES 14 CHAPTER 11 – REFERENCES 16
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Page 3 TECHNOLOGY DESCRIPTION Biometrics: In the last decade especially after 9/11 terrorist attacks, due to rising security concerns, “biometrics” which was once a highly theoretical research topic, has become a part of our daily lives. Biometrics is a general term either to describe a process or a characteristic. As a characteristic, it is a biological (anatomical or physiological) or behavioral characteristic that can be used for automated recognition. [1] Iris, fingerprint, hand, face, voice, retina, DNA, odor, lips are some of biological biometric characteristics whereas signature, keystroke, gait and voice can be listed as behavioral ones. [2] As a process biometrics defines automated methods of recognizing and classifying individuals based on measurable biological or behavioral characteristics. A typical biometric system has five constituents: sensor, signal processing algorithm, data storage, matching algorithm and decision process. Firstly data is collected by a sensor and converted to digital format. Then, a signal processing algorithm performs quality control and develops biometric template. This biometric template is compared with other templates kept in data storage via matching algorithm. Finally, a decision process uses results from matching algorithm to make a final decision. Commonly implemented biometric modalities include fingerprint, face, voice, iris and hand geometry. Facial Recognition: Early facial recognition techniques used simple geometric models, but latest developments in facial recognition algorithm put this technology into spotlight. A general statement of the facial recognition problem (in computer vision) can be formulated as follows: Given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces. In facial recognition systems, facial image which is acquired from various forms of media is separated with complicated background and then normalized through the position of eyes, nose and mouth.
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Page 4 Description of Eve32: [3] Eve32 controls all heterogeneous biometric infrastructures from a unique place. Features:
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This note was uploaded on 05/01/2011 for the course MGMT 689 taught by Professor Staff during the Spring '08 term at Texas A&M.

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Eve32_Quicklook_Report - QUICKLOOK TECHNOLOGY ASSESSMENT...

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