CNNAI: A Convolution Neural Network-Based Latent Fingerprint Matching Using the Combination of Nearest Neighbor Arrangement Indexing

CNNAI: A Convolution Neural Network-Based Latent Fingerprint Matching Using the Combination of Nearest Neighbor Arrangement Indexing

Automatic fingerprint identification systems (AFIS) make use of global fingerprint information like ridge flow, ridge frequency, and delta or core points for fingerprint alignment, before performing matching. In latent fingerprints, the ridges will be smudged and delta or core points may not be avai...

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Bibliographic Details
Main Authors: Uttam U. Deshpande, V. S. Malemath, Shivanand M. Patil, Sushma V. Chaugule
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Robotics and AI
Subjects:
convolution neural network (CNN)
CNNAI
global features
nearest neighbor
indexing
feature vector
Online Access:https://www.frontiersin.org/article/10.3389/frobt.2020.00113/full

Internet

https://www.frontiersin.org/article/10.3389/frobt.2020.00113/full

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