An overview of touchless 2D fingerprint recognition

J Priesnitz, C Rathgeb, N Buchmann, C Busch… - EURASIP Journal on …, 2021 - Springer
Touchless fingerprint recognition represents a rapidly growing field of research which has
been studied for more than a decade. Through a touchless acquisition process, many issues …

Touchless fingerprint recognition: A survey of recent developments and challenges

S Sreehari, SM Anzar - Computers and Electrical Engineering, 2025 - Elsevier
Touchless biometrics, particularly touchless fingerprint recognition, have gained significant
attention in recent years, with the COVID-19 pandemic accelerating the need for clean and …

A scheme for fingerphoto recognition in smartphones

R Donida Labati, A Genovese, V Piuri… - … Biometrics: Advances and …, 2019 - Springer
Touchless technologies for fingerphoto recognition based on smartphones can be
considered selfie biometrics, in which a user captures images of his or her own biometric …

Local Pre-Conditioning and Quality Enhancement to Handle Different Data Complexities in Contactless Fingerprint Classification

KC Deepika, G Shivakumar - International Journal of …, 2022 - search.proquest.com
Biometric authentication systems have always been a fascinating approach to meet
personalized security. Among the major existing solutions fingerprint-biometrics have …

Touchless Palmprint and Fingerprint Recognition

R Donida Labati, A Genovese, V Piuri… - Advances in Computing …, 2022 - Springer
Biometric systems based on hand traits captured using touchless acquisition procedures are
increasingly being used for the automatic recognition of individuals due to their favorable …

[PDF][PDF] Detecçao de Fraudes em Leitores de Impressoes Digitais sem Contato Utilizando Descritores de Texturas e Redes Neurais Artificiais

MME da Silva, A Zaghetto, C Zaghetto - researchgate.net
Este artigo apresenta um método capaz de detectar tentativas de fraudes em dispositivos de
aquisiçao de impressoes digitais multivista sem toque. Para tanto, um classificador baseado …

Detecção do mal-posicionamento rotacional de dedos em dispositivos de captura de impressões digitais multivista sem toque utilizando redes neurais artificiais

C Zaghetto - 2016 - icts.unb.br
Este trabalho apresenta um método baseado em Redes Neurais Artificiais que avalia o
malposicionamento dos dedos devido à rotação em dispositivos de aquisição de …

[CITAS][C] Detecção de fraudes em leitores de impressões digitais sem contato utilizando descritores de texturas e redes neurais artificiais

MME Silva - 2015