Title:
DEEP LEARNING-BASED NON-CONTACT PALM PRINT RECOGNITION SYSTEM AND METHOD
Document Type and Number:
WIPO Patent Application WO/2023/075183
Kind Code:
A1
Abstract:
The present invention relates to a deep learning-based non-contact palm print recognition system and method. The palm print recognition system according to the present invention comprises a server for recognizing a palm print in a non-contact manner on the basis of deep learning. The server can: receive an inner knuckle print (IKP) region of interest and a palm region of interest extracted from a captured image of the user's palm and knuckles; extract palm feature information and IKP feature information from the palm region of interest and the IKP region of interest, respectively, on the basis of deep learning; and identify a user on the basis of the palm feature information and the IKP feature information.
Inventors:
LEE KWANG JUN (KR)
SHIN DONG JIN (KR)
PARK EUN SOO (KR)
SHIN DONG JIN (KR)
PARK EUN SOO (KR)
Application Number:
PCT/KR2022/014611
Publication Date:
May 04, 2023
Filing Date:
September 29, 2022
Export Citation:
Assignee:
KAKAO VX CORP (KR)
International Classes:
G06F21/32; G06V40/13; G06V10/46; G06V40/12
Foreign References:
| KR20210019515A | 2021-02-22 | |||
| KR20200145924A | 2020-12-31 | |||
| KR100753746B1 | 2007-08-31 | |||
| JP2021157827A | 2021-10-07 | |||
| JP2020061171A | 2020-04-16 |
Attorney, Agent or Firm:
GURU IP LAW FIRM (KR)
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