FR3098960B1 - Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout - Google Patents
Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout Download PDFInfo
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- 238000013528 artificial neural network Methods 0.000 title abstract 3
- 238000000034 method Methods 0.000 title abstract 2
- 230000011218 segmentation Effects 0.000 abstract 3
- 238000000605 extraction Methods 0.000 abstract 1
- 238000010606 normalization Methods 0.000 abstract 1
- 210000001747 pupil Anatomy 0.000 abstract 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/19—Sensors therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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Abstract
La présente invention concerne un procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones caractérisé en ce qu’il est entrainable de bout-en-bout et comprend la mise en œuvre par des moyens de traitement de données d’un client d’étapes de : Segmentation de l’image d’entrée représentative de l’iris au moyen d’un premier sous-réseau afin d’obtenir une carte de segmentation de l’iris, une carte de segmentation de la pupille et une carte d’attention ; Extraction par un deuxième sous-réseau du réseau de neurones d’un vecteur de caractéristique à partir de l’image normalisée représentative de l’iris segmenté par une opération de normalisation caractérisée en ce qu’elle est dérivable. Figure pour l’abrégé : Fig 1
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1908000A FR3098960B1 (fr) | 2019-07-16 | 2019-07-16 | Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout |
US16/922,423 US11263437B2 (en) | 2019-07-16 | 2020-07-07 | Method for extracting a feature vector from an input image representative of an iris by means of an end-to-end trainable neural network |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1908000A FR3098960B1 (fr) | 2019-07-16 | 2019-07-16 | Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout |
FR1908000 | 2019-07-16 |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3098960A1 FR3098960A1 (fr) | 2021-01-22 |
FR3098960B1 true FR3098960B1 (fr) | 2021-07-16 |
Family
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Application Number | Title | Priority Date | Filing Date |
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FR1908000A Active FR3098960B1 (fr) | 2019-07-16 | 2019-07-16 | Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout |
Country Status (2)
Country | Link |
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US (1) | US11263437B2 (fr) |
FR (1) | FR3098960B1 (fr) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
FR3098960B1 (fr) * | 2019-07-16 | 2021-07-16 | Idemia Identity & Security France | Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout |
CN113837117B (zh) * | 2021-09-28 | 2024-05-07 | 上海电力大学 | 基于新型归一化和深度神经网络的虹膜编码方法 |
CN116823746B (zh) * | 2023-06-12 | 2024-02-23 | 广州视景医疗软件有限公司 | 一种基于深度学习的瞳孔尺寸预测方法及装置 |
CN117523208B (zh) * | 2024-01-08 | 2024-04-16 | 暨南大学 | 基于图像语义分割与分类的身份识别方法与系统 |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7593550B2 (en) * | 2005-01-26 | 2009-09-22 | Honeywell International Inc. | Distance iris recognition |
US20170091550A1 (en) * | 2014-07-15 | 2017-03-30 | Qualcomm Incorporated | Multispectral eye analysis for identity authentication |
RU2016138608A (ru) * | 2016-09-29 | 2018-03-30 | Мэджик Лип, Инк. | Нейронная сеть для сегментации изображения глаза и оценки качества изображения |
US10963737B2 (en) * | 2017-08-01 | 2021-03-30 | Retina-Al Health, Inc. | Systems and methods using weighted-ensemble supervised-learning for automatic detection of ophthalmic disease from images |
GB2569794A (en) * | 2017-12-21 | 2019-07-03 | Yoti Holding Ltd | Biometric user authentication |
US10943110B2 (en) * | 2018-06-26 | 2021-03-09 | Eyelock Llc | Biometric matching using normalized iris images |
FR3098960B1 (fr) * | 2019-07-16 | 2021-07-16 | Idemia Identity & Security France | Procédé d’extraction d’un vecteur caractéristique à partir d’une image d’entrée représentative d’un iris au moyen d’un réseau de neurones entrainable de bout-en-bout |
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2019
- 2019-07-16 FR FR1908000A patent/FR3098960B1/fr active Active
-
2020
- 2020-07-07 US US16/922,423 patent/US11263437B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US11263437B2 (en) | 2022-03-01 |
FR3098960A1 (fr) | 2021-01-22 |
US20210019502A1 (en) | 2021-01-21 |
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