FR3088467B1 - Procede de classification d'une image d'entree representative d'un trait biometrique au moyen d'un reseau de neurones a convolution - Google Patents
Procede de classification d'une image d'entree representative d'un trait biometrique au moyen d'un reseau de neurones a convolution Download PDFInfo
- Publication number
- FR3088467B1 FR3088467B1 FR1860323A FR1860323A FR3088467B1 FR 3088467 B1 FR3088467 B1 FR 3088467B1 FR 1860323 A FR1860323 A FR 1860323A FR 1860323 A FR1860323 A FR 1860323A FR 3088467 B1 FR3088467 B1 FR 3088467B1
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- FR
- France
- Prior art keywords
- treaty
- biometric
- classifying
- input image
- image representative
- 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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/32—Normalisation of the pattern dimensions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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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
- G06V40/12—Fingerprints or palmprints
- G06V40/1365—Matching; Classification
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1860323A FR3088467B1 (fr) | 2018-11-08 | 2018-11-08 | Procede de classification d'une image d'entree representative d'un trait biometrique au moyen d'un reseau de neurones a convolution |
US16/676,570 US11281756B2 (en) | 2018-11-08 | 2019-11-07 | Method of classification of an input image representative of a biometric trait by means of a convolutional neural network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
FR1860323A FR3088467B1 (fr) | 2018-11-08 | 2018-11-08 | Procede de classification d'une image d'entree representative d'un trait biometrique au moyen d'un reseau de neurones a convolution |
Publications (2)
Publication Number | Publication Date |
---|---|
FR3088467A1 FR3088467A1 (fr) | 2020-05-15 |
FR3088467B1 true FR3088467B1 (fr) | 2022-11-04 |
Family
ID=66690418
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
FR1860323A Active FR3088467B1 (fr) | 2018-11-08 | 2018-11-08 | Procede de classification d'une image d'entree representative d'un trait biometrique au moyen d'un reseau de neurones a convolution |
Country Status (2)
Country | Link |
---|---|
US (1) | US11281756B2 (fr) |
FR (1) | FR3088467B1 (fr) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11386656B2 (en) * | 2020-04-08 | 2022-07-12 | Moxa Inc. | Device and method of handling video content analysis |
FR3112008B1 (fr) | 2020-06-26 | 2022-11-18 | Idemia Identity & Security France | Procédé de détection d’au moins un trait biométrique visible sur une image d’entrée au moyen d’un réseau de neurones à convolution |
CN112182336B (zh) * | 2020-10-13 | 2023-05-30 | 广西机电职业技术学院 | 一种京族图案谱系整理分类系统 |
CN112132878B (zh) * | 2020-11-03 | 2024-04-05 | 贵州大学 | 基于卷积神经网络的端到端大脑核磁共振图像配准方法 |
CN115511124B (zh) * | 2022-09-27 | 2023-04-18 | 上海网商电子商务有限公司 | 一种基于售后维修记录的客户分级方法 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10572777B2 (en) * | 2016-03-11 | 2020-02-25 | Nec Corporation | Deep deformation network for object landmark localization |
FR3063373B1 (fr) | 2017-02-27 | 2019-06-07 | Safran Identity & Security | Systeme de traitement d'images |
FR3082645B1 (fr) * | 2018-06-13 | 2023-01-13 | Idemia Identity & Security France | Procede d'apprentissage de parametres d'un reseau de neurones a convolution |
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2018
- 2018-11-08 FR FR1860323A patent/FR3088467B1/fr active Active
-
2019
- 2019-11-07 US US16/676,570 patent/US11281756B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
US11281756B2 (en) | 2022-03-22 |
US20200151309A1 (en) | 2020-05-14 |
FR3088467A1 (fr) | 2020-05-15 |
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