JPWO2024142286A1 - - Google Patents
Info
- Publication number
- JPWO2024142286A1 JPWO2024142286A1 JP2024567063A JP2024567063A JPWO2024142286A1 JP WO2024142286 A1 JPWO2024142286 A1 JP WO2024142286A1 JP 2024567063 A JP2024567063 A JP 2024567063A JP 2024567063 A JP2024567063 A JP 2024567063A JP WO2024142286 A1 JPWO2024142286 A1 JP WO2024142286A1
- Authority
- JP
- Japan
- 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.)
- Pending
Links
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
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Ophthalmology & Optometry (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
- Electrically Operated Instructional Devices (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2022/048299 WO2024142286A1 (ja) | 2022-12-27 | 2022-12-27 | 情報処理システム、学習装置、照合装置、情報処理方法及び記録媒体 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPWO2024142286A1 true JPWO2024142286A1 (https=) | 2024-07-04 |
| JPWO2024142286A5 JPWO2024142286A5 (ja) | 2025-08-26 |
Family
ID=
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210019502A1 (en) * | 2019-07-16 | 2021-01-21 | Idemia Identity & Security France | Method for extracting a feature vector from an input image representative of an iris by means of an end-to-end trainable neural network |
| WO2022059066A1 (ja) * | 2020-09-15 | 2022-03-24 | 日本電気株式会社 | 検出システム、検出方法、及びコンピュータプログラム |
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20210019502A1 (en) * | 2019-07-16 | 2021-01-21 | Idemia Identity & Security France | Method for extracting a feature vector from an input image representative of an iris by means of an end-to-end trainable neural network |
| WO2022059066A1 (ja) * | 2020-09-15 | 2022-03-24 | 日本電気株式会社 | 検出システム、検出方法、及びコンピュータプログラム |
Non-Patent Citations (1)
| Title |
|---|
| 大塚 陸人 RIKUTO OTSUKA: "深層学習を用いた低解像度虹彩認証における損失関数の評価 Evaluation of Loss Functions for Low-Resolut", 電子情報通信学会技術研究報告 ＶＯＬ．１２２ ＮＯ．１８１ ［ＯＮＬＩＮＥ］ IEICE TECHNICAL REPORT, vol. 第122巻, JPN6026002524, September 2022 (2022-09-01), JP, pages 7 - 12, ISSN: 0005782441 * |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2024142286A1 (ja) | 2024-07-04 |
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