Iris recognition system and method using multifocus image sequence
First Claim
1. An iris recognition system using a multifocus image sequence comprising:
- an eye image input unit calculating the distance between an image obtaining apparatus and a user using a distance sensor to receive a multifocus eye image sequence having focus information of the user'"'"'s eye varied at regular time intervals within a predetermined distance using the image obtaining apparatus;
an eye image pretreatment unit calculating a fuzzy entropy for the multifocus eye image sequence input from the eye image input unit to select eye images of N number that can effectively express eye image data of various focusing levels, and extracting a multifocus iris image sequence by separating an iris image between pupil and collarette that has various iris patterns, from which an area unnecessary for configuring a feature vector is removed, from the selected eye images;
a feature vector extraction unit multi-dividing the multifocus iris image sequence extracted in the eye image pretreatment unit, forming a wavelet feature vector from the multi-divided images using a subband including only a low-frequency area, and generating a wavelet feature vector reduced to a dimension having a high discrimination performance and a dimension-reducing transform function P;
a recognition unit discriminating the user'"'"'s authenticity by measuring a dissimilarity between the feature vector extracted from the feature vector extraction unit and a feature vector already registered;
a register unit registering the reduced wavelet feature vector extracted from the feature vector extraction unit and the dimension-reducing transform function P in a storage unit; and
a storage unit storing the dimension-reducing transform function P and the reduced wavelet feature vector.
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Abstract
An iris recognition system includes an eye image input unit calculating the distance between an image obtaining apparatus and a user using a distance sensor. An eye image pretreatment unit calculates a fuzzy entropy for the multifocus eye image sequence input. A feature vector extraction unit multi-divides the multifocus iris image sequence extracted in the eye image pretreatment unit. A recognition unit discriminates the user'"'"'s authenticity by measuring a dissimilarity between the feature vector extracted from the feature vector extraction unit and a feature vector already registered. A register unit registers the reduced wavelet feature vector extracted from the feature vector extraction unit and the dimension-reducing transform function P in a storage unit. A storage unit stores the dimension-reducing transform function P and the reduced wavelet feature vector.
25 Citations
7 Claims
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1. An iris recognition system using a multifocus image sequence comprising:
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an eye image input unit calculating the distance between an image obtaining apparatus and a user using a distance sensor to receive a multifocus eye image sequence having focus information of the user'"'"'s eye varied at regular time intervals within a predetermined distance using the image obtaining apparatus; an eye image pretreatment unit calculating a fuzzy entropy for the multifocus eye image sequence input from the eye image input unit to select eye images of N number that can effectively express eye image data of various focusing levels, and extracting a multifocus iris image sequence by separating an iris image between pupil and collarette that has various iris patterns, from which an area unnecessary for configuring a feature vector is removed, from the selected eye images; a feature vector extraction unit multi-dividing the multifocus iris image sequence extracted in the eye image pretreatment unit, forming a wavelet feature vector from the multi-divided images using a subband including only a low-frequency area, and generating a wavelet feature vector reduced to a dimension having a high discrimination performance and a dimension-reducing transform function P; a recognition unit discriminating the user'"'"'s authenticity by measuring a dissimilarity between the feature vector extracted from the feature vector extraction unit and a feature vector already registered; a register unit registering the reduced wavelet feature vector extracted from the feature vector extraction unit and the dimension-reducing transform function P in a storage unit; and a storage unit storing the dimension-reducing transform function P and the reduced wavelet feature vector. - View Dependent Claims (2)
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3. An iris recognition method using a multifocus image sequence comprising:
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an image obtaining step (S200) of receiving a multifocus eye image sequence from an image obtaining apparatus; a pretreatment step (S300) of calculating a fuzzy entropy from the multifocus eye image sequence obtained from the image obtaining step (S200) to select eye images and extracting a multifocus iris image sequence by separating an iris image between pupil and collarette from the selected eye images; a feature vector extraction step (S400) of multi-dividing the multifocus iris image sequence extracted in the pretreatment step (S300), forming a wavelet feature vector from a subband including only low-frequency components among the multi-divided subbands, and extracting a reduced wavelet feature vector of an iris area for the personal identification from the wavelet feature vector thus formed using a dimension-reducing transform function P stored in a storage unit; and a recognition step (S500) of discriminating a user'"'"'s authenticity by measuring a dissimilarity between the wavelet feature vector extracted in the feature vector extraction step (S400) and the feature vector registered in the storage unit. - View Dependent Claims (4, 5, 6, 7)
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Specification