A Fingerprint Detection Method by Fingerprint Ridge Orientation Check
This work addresses fingerprint detection for biometric security applications, but it appears incremental as it builds on existing methods without clear novelty.
The paper tackles the problem of fingerprint detection in biometric systems by proposing a new algorithm based on fingerprint ridge orientation check, but it does not provide concrete results or numbers.
Fingerprints are popular among the biometric based systems due to ease of acquisition, uniqueness and availability. Nowadays it is used in smart phone security, digital payment and digital locker. Fingerprint recognition technology has been studied for a long time, and its recognition rate has recently risen to a high level. In particular, with the introduction of Deep Neural Network technologies, the recognition rate that could not be reached before was reached. In this paper, we propose a fingerprint detection algorithm used in a fingerprint recognition system.