Auto Focusing Algorithm for Iris Recognition Camera Using Corneal Specular Reflection(Image Processing and Video Processing)

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概要

• 論文の詳細を見る

• Iris recognition is used to identify a user based on the iris texture information which exists between the white sclera and the black pupil. For fast iris recognition, it is very important to capture user's focused eye image at fast speed. If not, the total recognition time is increased and it makes the user feel much inconvenience. In previous researches and systems, they use the focusing method which has been used for general landscape scene without considering the characteristics of iris image. So, they take much focusing time sometimes, especially in case of the user with glasses. To overcome such problems, we propose a new iris image acquisition method to capture user's focused eye image at very fast speed based on the corneal specular reflection. Experimental results show that the focusing time for both the users with glasses and without glasses is average 480 ms and we can conclude our method can be used for the real-time iris recognition camera.

• 社団法人電子情報通信学会の論文
• 2004-07-01

著者

• Park Kang

  Division Of Media Technology Sang Myung University

関連論文

• A New Iris Recognition Method Using Independent Component Analysis(Image Recognition, Computer Vision)
• Real-Time Facial and Eye Gaze Tracking System(Image Recognition, Computer Vision)
• System of the Real-Time Acquisition and Recognition for Iris Images(Vision)
• Focus assessment measure and 2DLDA features for iris recognition(Biometrics1)
• Auto Focusing Algorithm for Iris Recognition Camera Using Corneal Specular Reflection(Image Processing and Video Processing)

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