A new approach for inner-knuckle-print recognition

Author:

Liu Ming,Tian Yongmei,Lihua Li

Publisher

Elsevier BV

Subject

Computer Science Applications,Human-Computer Interaction,Language and Linguistics

Reference21 articles.

1. D.L. Woodard, P.J. Flynn, Personal identification utilizing finger surface features, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, 2005, pp. 1030–1036.

2. Personal authentication using finger knuckle surface;Kumar;IEEE Trans. Inf. Forensics Secur.,2009

3. Online finger-knuckle-print verification for personal authentication;Zhang;Pattern Recognition,2010

4. Ensemble of local and global information for finger-knuckle-print recognition;Zhang;Pattern Recognition,2011

5. Encoding local image patterns using Riesz transforms: with applications to palmprint and finger-knuckle-print recognition;Zhang;Image Vision Comput.,2012

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1. Deep inner-knuckle-print recognition using lightweight Siamese network;Journal of Electronic Imaging;2024-08-02

2. Identification Method of Inner Knuckle Print Based on Geometric Features;2023 6th International Conference on Communication Engineering and Technology (ICCET);2023-02

3. Biometric Recognition of Finger Knuckle Print Based on the Fusion of Global Features and Local Features;Journal of Healthcare Engineering;2022-01-07

4. Hand measurement and analysis based on image and mark watershed algorithm;International Journal of Clothing Science and Technology;2021-09-24

5. Finger Knuckle Print Feature Extraction Using Artificial Intelligence Algorithm;New Approaches for Multidimensional Signal Processing;2021

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