CN111209850A - 一种基于改进cGAN网络生成适用多设备识别指静脉图像的方法 - Google Patents
一种基于改进cGAN网络生成适用多设备识别指静脉图像的方法 Download PDFInfo
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- CN111209850A CN111209850A CN202010007624.1A CN202010007624A CN111209850A CN 111209850 A CN111209850 A CN 111209850A CN 202010007624 A CN202010007624 A CN 202010007624A CN 111209850 A CN111209850 A CN 111209850A
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- 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
- G06V40/13—Sensors therefor
- G06V40/1318—Sensors therefor using electro-optical elements or layers, e.g. electroluminescent sensing
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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
- G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
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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
- G06V40/1347—Preprocessing; Feature extraction
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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
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- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Collating Specific Patterns (AREA)
Abstract
Description
number | layers | shape | strides | future_size |
1 | input | * | * | 240×480×1 |
2 | layer_1 | (2,3,1,64) | [2,2} | 120×240×64 |
3 | layer_2 | (2,3,64,128) | [2,2} | 60×120×128 |
4 | layer_3 | (2,3,128,256) | [2,2] | 30×60×256 |
5 | layer_4 | (2,3,256,512) | [2,2] | 16×30×512 |
6 | layer_5 | (2,3,512,256) | [2,2] | 8×16×256 |
7 | layer_6 | (2,3,256,256) | [2,2] | 4×8×256 |
8 | layer_7 | (2,3,256,256) | [2,2] | 2×4×256 |
9 | layer_8 | (2,3,256,128) | [2,4] | 1×1×128 |
10 | output | * | * | 1×128 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111950454A (zh) * | 2020-08-12 | 2020-11-17 | 辽宁工程技术大学 | 一种基于双向特征提取的手指静脉识别方法 |
CN113689344A (zh) * | 2021-06-30 | 2021-11-23 | 中国矿业大学 | 基于特征解耦学习的低曝光图像增强方法 |
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CN109035149A (zh) * | 2018-03-13 | 2018-12-18 | 杭州电子科技大学 | 一种基于深度学习的车牌图像去运动模糊方法 |
CN109166126A (zh) * | 2018-08-13 | 2019-01-08 | 苏州比格威医疗科技有限公司 | 一种基于条件生成式对抗网络在icga图像上分割漆裂纹的方法 |
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CN110264424A (zh) * | 2019-06-20 | 2019-09-20 | 北京理工大学 | 一种基于生成对抗网络的模糊视网膜眼底图像增强方法 |
US20190295302A1 (en) * | 2018-03-22 | 2019-09-26 | Northeastern University | Segmentation Guided Image Generation With Adversarial Networks |
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CN109215123A (zh) * | 2018-09-20 | 2019-01-15 | 电子科技大学 | 基于cGAN的无限地形生成方法、系统、存储介质和终端 |
CN110223259A (zh) * | 2019-06-14 | 2019-09-10 | 华北电力大学(保定) | 一种基于生成式对抗网络的道路交通模糊图像增强方法 |
CN110264424A (zh) * | 2019-06-20 | 2019-09-20 | 北京理工大学 | 一种基于生成对抗网络的模糊视网膜眼底图像增强方法 |
CN110675353A (zh) * | 2019-08-31 | 2020-01-10 | 电子科技大学 | 一种基于条件生成对抗网络的选择分割图像合成方法 |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111950454A (zh) * | 2020-08-12 | 2020-11-17 | 辽宁工程技术大学 | 一种基于双向特征提取的手指静脉识别方法 |
CN111950454B (zh) * | 2020-08-12 | 2024-04-02 | 辽宁工程技术大学 | 一种基于双向特征提取的手指静脉识别方法 |
CN113689344A (zh) * | 2021-06-30 | 2021-11-23 | 中国矿业大学 | 基于特征解耦学习的低曝光图像增强方法 |
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Denomination of invention: A method for generating finger vein images suitable for multi device recognition based on an improved cGAN network Granted publication date: 20210219 Pledgee: Bank of China Limited Taiyuan Binzhou sub branch Pledgor: Holy Point Century Technology Co.,Ltd. Registration number: Y2024140000011 |