JP4805359B2 - 不変径方向虹彩セグメント化 - Google Patents
不変径方向虹彩セグメント化 Download PDFInfo
- Publication number
- JP4805359B2 JP4805359B2 JP2008558461A JP2008558461A JP4805359B2 JP 4805359 B2 JP4805359 B2 JP 4805359B2 JP 2008558461 A JP2008558461 A JP 2008558461A JP 2008558461 A JP2008558461 A JP 2008558461A JP 4805359 B2 JP4805359 B2 JP 4805359B2
- Authority
- JP
- Japan
- Prior art keywords
- iris
- peak
- image
- radial
- pupil
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Ophthalmology & Optometry (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Evolutionary Computation (AREA)
- Databases & Information Systems (AREA)
- Artificial Intelligence (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Applications Claiming Priority (7)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US77877006P | 2006-03-03 | 2006-03-03 | |
| US60/778,770 | 2006-03-03 | ||
| US11/372,854 US8442276B2 (en) | 2006-03-03 | 2006-03-10 | Invariant radial iris segmentation |
| US11/372,854 | 2006-03-10 | ||
| US11/382,373 | 2006-05-09 | ||
| US11/382,373 US8064647B2 (en) | 2006-03-03 | 2006-05-09 | System for iris detection tracking and recognition at a distance |
| PCT/US2007/063019 WO2007103698A2 (en) | 2006-03-03 | 2007-03-01 | Invariant radial iris segmentation |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2009529195A JP2009529195A (ja) | 2009-08-13 |
| JP2009529195A5 JP2009529195A5 (enExample) | 2010-04-15 |
| JP4805359B2 true JP4805359B2 (ja) | 2011-11-02 |
Family
ID=38353648
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2008558461A Active JP4805359B2 (ja) | 2006-03-03 | 2007-03-01 | 不変径方向虹彩セグメント化 |
Country Status (4)
| Country | Link |
|---|---|
| JP (1) | JP4805359B2 (enExample) |
| KR (1) | KR101423153B1 (enExample) |
| GB (1) | GB2450027B (enExample) |
| WO (1) | WO2007103698A2 (enExample) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8873810B2 (en) | 2009-03-02 | 2014-10-28 | Honeywell International Inc. | Feature-based method and system for blur estimation in eye images |
| GB2468380B (en) * | 2009-03-02 | 2011-05-04 | Honeywell Int Inc | A feature-based method and system for blur estimation in eye images |
| US8948467B2 (en) * | 2010-08-06 | 2015-02-03 | Honeywell International Inc. | Ocular and iris processing system and method |
| FR2979727B1 (fr) | 2011-09-06 | 2013-08-30 | Morpho | Identification par reconnaissance d'iris |
| KR101601564B1 (ko) * | 2014-12-30 | 2016-03-09 | 가톨릭대학교 산학협력단 | 얼굴의 원형 블록화를 이용한 얼굴 검출 방법 및 그 장치 |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001195594A (ja) * | 1999-04-09 | 2001-07-19 | Iritech Inc | 虹彩同定システム及び虹彩認識によって人を同定する方法 |
| US6247813B1 (en) * | 1999-04-09 | 2001-06-19 | Iritech, Inc. | Iris identification system and method of identifying a person through iris recognition |
| US7519199B2 (en) * | 2003-04-02 | 2009-04-14 | Panasonic Corporation | Image processing method, image processor, photographic apparatus, image output unit and iris verify unit |
| US7336806B2 (en) * | 2004-03-22 | 2008-02-26 | Microsoft Corporation | Iris-based biometric identification |
-
2007
- 2007-03-01 GB GB0815933A patent/GB2450027B/en active Active
- 2007-03-01 JP JP2008558461A patent/JP4805359B2/ja active Active
- 2007-03-01 WO PCT/US2007/063019 patent/WO2007103698A2/en not_active Ceased
- 2007-03-01 KR KR1020087022043A patent/KR101423153B1/ko active Active
Also Published As
| Publication number | Publication date |
|---|---|
| GB2450027B (en) | 2011-05-18 |
| WO2007103698A3 (en) | 2007-11-22 |
| GB2450027A (en) | 2008-12-10 |
| JP2009529195A (ja) | 2009-08-13 |
| KR101423153B1 (ko) | 2014-07-25 |
| GB0815933D0 (en) | 2008-10-08 |
| KR20080100256A (ko) | 2008-11-14 |
| WO2007103698A2 (en) | 2007-09-13 |
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| Khan et al. | Fast and efficient iris segmentation approach based on morphology and geometry operation | |
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