TR2021016140A2 - Biyometrik kimlik doğrulama cihazı ve biyometrik kimlik doğrulama yöntemi. - Google Patents

Biyometrik kimlik doğrulama cihazı ve biyometrik kimlik doğrulama yöntemi.

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Publication number
TR2021016140A2
TR2021016140A2 TR2021/016140A TR2021016140A TR2021016140A2 TR 2021016140 A2 TR2021016140 A2 TR 2021016140A2 TR 2021/016140 A TR2021/016140 A TR 2021/016140A TR 2021016140 A TR2021016140 A TR 2021016140A TR 2021016140 A2 TR2021016140 A2 TR 2021016140A2
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Prior art keywords
living body
body part
biometric authentication
image
unit
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TR2021/016140A
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English (en)
Inventor
Miura Naoto
Matsuda Yusuke
Nagasaka Akio
Nonomura Yo
Nakazaki Keiichiro
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Hitachi Ltd
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    • G06V40/12Fingerprints or palmprints
    • G06V40/13Sensors therefor
    • G06V40/1318Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
    • GPHYSICS
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    • G06V40/13Sensors therefor
    • G06V40/1324Sensors therefor by using geometrical optics, e.g. using prisms
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    • G06F18/00Pattern recognition
    • G06F18/20Analysing
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    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • GPHYSICS
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    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
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    • GPHYSICS
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    • G06V10/00Arrangements for image or video recognition or understanding
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    • G06V10/60Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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    • G06V10/77Processing 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
    • G06V10/774Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
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    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14Vascular patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50Maintenance of biometric data or enrolment thereof
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/60Static or dynamic means for assisting the user to position a body part for biometric acquisition
    • G06V40/67Static or dynamic means for assisting the user to position a body part for biometric acquisition by interactive indications to the user
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B5/00Optical elements other than lenses
    • G02B5/20Filters
    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T2207/10024Color image
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
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    • GPHYSICS
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    • GPHYSICS
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    • G06T2207/20084Artificial neural networks [ANN]

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  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Vascular Medicine (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Image Input (AREA)
  • Collating Specific Patterns (AREA)

Abstract

Amaç, biyometrik görüntüleme sırasında dış ışık içerisinde varyasyon mevcut olsa dahi, yüksek hassasiyetli kimlik doğrulamanın elde edilmesidir. Bir biyometrik kimlik doğrulama cihazı, sırasıyla, bir canlı vücut kısmının görüntülerini yaklayan bir görüntü yakalama ünitesini, canlı vücut kısmının görüntülerinin yakalanması için bir ışık kaynağını (3), dalga boyuna bağlı olarak seçici olarak ışığı geçiren veya bloke eden bir optik filtreyi, aynı anda yakalanan birden fazla dalga boyunu ayıran bir spektroskopik işlem ünitesini (23) ve yakalanan görüntüler içerisinde canlı vücut kısmının önceden belirlenmiş bir kısmının şeklini ve duruşunu hesaplayan bir hesaplama ünitesini içerir. Hesaplama ünitesi, canlı vücut kısmının önceden belirlenmiş bir kısmının şeklini ve duruşunu hesaplar, arka plan uzaklaştırma ünitesi (24), canlı vücut kısmının spektral görüntüsünü (243) ve istenmeyen çevre ışığının (142) spektral görüntüsünü (243) kullanarak canlı vücut kısmının görüntüsünden arka planı uzaklaştırır ve kimlik doğrulama işlem ünitesi (21), önceden belirlenmiş kısmın görüntüsünü kullanarak biyometrik kimlik doğrulama işlemini gerçekleştirir.
TR2021/016140A 2020-10-21 2021-10-15 Biyometrik kimlik doğrulama cihazı ve biyometrik kimlik doğrulama yöntemi. TR2021016140A2 (tr)

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JP2020176985A JP7519871B2 (ja) 2020-10-21 2020-10-21 生体認証装置および生体認証方法

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US (1) US11837029B2 (tr)
EP (1) EP3989182A3 (tr)
JP (1) JP7519871B2 (tr)
KR (1) KR102679397B1 (tr)
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Publication number Publication date
US11837029B2 (en) 2023-12-05
US20220121869A1 (en) 2022-04-21
JP7519871B2 (ja) 2024-07-22
EP3989182A2 (en) 2022-04-27
JP2022068055A (ja) 2022-05-09
CN114387629A (zh) 2022-04-22
KR20220052828A (ko) 2022-04-28
KR102679397B1 (ko) 2024-07-01
EP3989182A3 (en) 2022-08-03

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