Feature Extraction and Recognition of Fingerprint Using KNN-SIFT Algorithm-Reference-Cited by-同舟云学术

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Feature Extraction and Recognition of Fingerprint Using KNN-SIFT Algorithm

Published:2024-03-11 Issue: Volume: Page:247-252
ISSN:
Container-title:2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
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Author:

Rajput Shweta Singh¹,Manimaran S.²,Satapathy Sandeep Kumar³,Mishra Shruti⁴,Mohanty Sachi Nandan²

Affiliation:

1. School of Computer Science and Engineering, Vellore Institute of Technology,Chennai,Tamil Nadu,India,600127

2. School of Computer Science and Engineering, (SCOPE) VIT-AP University,Amaravati,Andhra Pradesh,India,522503

3. Yonsei University,Department of Computer Science,Seoul,South Korea,03722

4. Centre for Advanced Data Sciences, Vellore Institute of Technology,Chennai,Tamil Nadu,India,600127

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511072/10511073/10511184.pdf?arnumber=10511184

Reference11 articles.

1. Enhanced Ridge Structure for Improving Fingerprint Image Quality Based on a Wavelet Domain

2. An Effective and Robust Fingerprint Enhancement Method

3. Learning Fingerprint Reconstruction: From Minutiae to Image

4. Fingerprint Reconstruction: From Minutiae to Phase

5. PoreNet: CNN-based Pore Descriptor for High-resolution Fingerprint Recognition

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