Iris identification system and method, and storage media having program thereof
First Claim
1. An iris identification system comprising:
- a characteristic vector database (DB) for pre-storing characteristic vectors to identify persons;
an iris image extractor for extracting an iris image in the eye image inputted from the outside;
a characteristic vector extractor for multi-dividing the iris image extracted by the iris image extractor, obtaining a iris characteristic region from the multi-divided each iris image, and extracting a characteristic vector from the iris characteristic region by a statistical method; and
a recognizer for comparing the characteristic vector extracted from the characteristic vector extractor with the characteristic vector stored in the characteristic vector DB thereby identifying a person.
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Accused Products
Abstract
Disclosed is an iris identification system and method, and storage media having program thereof. The iris identification system comprising a characteristic vector database (DB) for pre-storing characteristic vectors to identify persons; an iris image extractor for extracting an iris image in the eye image inputted from the outside; a characteristic vector extractor for multi-dividing the iris image extracted by the iris image extractor, obtaining a iris characteristic region from the multi-divided each iris image, and extracting a characteristic vector from the iris characteristic region by a statistical method; and a recognizer for comparing the characteristic vector DB thereby identifying a person.
62 Citations
55 Claims
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1. An iris identification system comprising:
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a characteristic vector database (DB) for pre-storing characteristic vectors to identify persons;
an iris image extractor for extracting an iris image in the eye image inputted from the outside;
a characteristic vector extractor for multi-dividing the iris image extracted by the iris image extractor, obtaining a iris characteristic region from the multi-divided each iris image, and extracting a characteristic vector from the iris characteristic region by a statistical method; and
a recognizer for comparing the characteristic vector extracted from the characteristic vector extractor with the characteristic vector stored in the characteristic vector DB thereby identifying a person. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 34)
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20. An iris identification method comprising the steps of:
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extracting an iris image in the eye image inputted from the outside;
multi-dividing the extracted iris image, obtaining a iris characteristic region from the multi-divided each iris image, and extracting a characteristic vector from the iris characteristic region by a statistical method; and
comparing the extracted characteristic vector with the characteristic vector stored in the characteristic vector DB thereby identifying a person. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37)
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38. A computer-readable storage medium on which a program is stored, the program including the processes of:
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extracting an iris image in the eye image inputted from the outside;
multi-dividing the extracted iris image, obtaining a iris characteristic region from the multi-divided each iris image, and extracting a characteristic vector from the iris characteristic region by a statistical method; and
comparing the extracted characteristic vector with the characteristic vector stored in the characteristic vector DB thereby identifying a person. - View Dependent Claims (39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55)
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51. The storage medium as claimed in claim 51, wherein the process (c2) comprises the sub-process of, when the eye image is divided into M×
- N blocks, detecting the block F2 that the average brightness of each block is smaller than the predetermined value.
- View Dependent Claims (52)
Specification