Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281557029> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4281557029 abstract "Fingerprint-based human authentication being most widely deployed systems are also exposed to many security threats. Among all, spoofing attacks is widely attempted that involves circumventing the sensor module of the system by presenting a fake replica of the original trait of a genuine user. A counter measuring mechanism is deployed in these systems that intelligently measure the vitality characteristics of a presented fingerprint image. These sub-modules are integrated besides sensing device of the system and popularly known as anti-spoofing methods or fingerprint spoof detection (FSD) mechanisms. The evaluation of data-driven enabled computer vision paradigm has facilitated researchers to design intelligent FSD. Pre-processing data to train these FSD models is required to improve the overall quality of the input images. This paper presents a focused review of pre-processing approaches used in deep learning-based FSD models. The proposed research study has clearly observed that image pre-processing is a vital step to significantly improve the overall accuracy and efficiency of FSD approaches." @default.
- W4281557029 created "2022-05-27" @default.
- W4281557029 creator A5030788904 @default.
- W4281557029 creator A5031837692 @default.
- W4281557029 creator A5088412912 @default.
- W4281557029 date "2022-04-28" @default.
- W4281557029 modified "2023-10-09" @default.
- W4281557029 title "Exploring Pre-Processing Approaches for Deep Learning-based Fingerprint Spoof Detection Mechanisms" @default.
- W4281557029 cites W2000889716 @default.
- W4281557029 cites W2041942569 @default.
- W4281557029 cites W2304245051 @default.
- W4281557029 cites W2318770634 @default.
- W4281557029 cites W2511608936 @default.
- W4281557029 cites W2575842296 @default.
- W4281557029 cites W2792557137 @default.
- W4281557029 cites W2811155510 @default.
- W4281557029 cites W2919309882 @default.
- W4281557029 cites W2956767096 @default.
- W4281557029 cites W2963324696 @default.
- W4281557029 cites W2975485695 @default.
- W4281557029 cites W3006433045 @default.
- W4281557029 cites W3017988947 @default.
- W4281557029 cites W3023066750 @default.
- W4281557029 cites W3092333664 @default.
- W4281557029 cites W3117574506 @default.
- W4281557029 cites W3152781463 @default.
- W4281557029 cites W3172425516 @default.
- W4281557029 cites W3177265212 @default.
- W4281557029 cites W3189245358 @default.
- W4281557029 cites W3196878033 @default.
- W4281557029 cites W3207441360 @default.
- W4281557029 cites W4205951982 @default.
- W4281557029 cites W4230579564 @default.
- W4281557029 cites W4242392184 @default.
- W4281557029 doi "https://doi.org/10.1109/icoei53556.2022.9777133" @default.
- W4281557029 hasPublicationYear "2022" @default.
- W4281557029 type Work @default.
- W4281557029 citedByCount "3" @default.
- W4281557029 countsByYear W42815570292023 @default.
- W4281557029 crossrefType "proceedings-article" @default.
- W4281557029 hasAuthorship W4281557029A5030788904 @default.
- W4281557029 hasAuthorship W4281557029A5031837692 @default.
- W4281557029 hasAuthorship W4281557029A5088412912 @default.
- W4281557029 hasConcept C108583219 @default.
- W4281557029 hasConcept C115961682 @default.
- W4281557029 hasConcept C119857082 @default.
- W4281557029 hasConcept C124101348 @default.
- W4281557029 hasConcept C142362112 @default.
- W4281557029 hasConcept C148417208 @default.
- W4281557029 hasConcept C153349607 @default.
- W4281557029 hasConcept C154945302 @default.
- W4281557029 hasConcept C167900197 @default.
- W4281557029 hasConcept C168406668 @default.
- W4281557029 hasConcept C184297639 @default.
- W4281557029 hasConcept C2775937380 @default.
- W4281557029 hasConcept C2777826928 @default.
- W4281557029 hasConcept C31972630 @default.
- W4281557029 hasConcept C38652104 @default.
- W4281557029 hasConcept C41008148 @default.
- W4281557029 hasConcept C9417928 @default.
- W4281557029 hasConceptScore W4281557029C108583219 @default.
- W4281557029 hasConceptScore W4281557029C115961682 @default.
- W4281557029 hasConceptScore W4281557029C119857082 @default.
- W4281557029 hasConceptScore W4281557029C124101348 @default.
- W4281557029 hasConceptScore W4281557029C142362112 @default.
- W4281557029 hasConceptScore W4281557029C148417208 @default.
- W4281557029 hasConceptScore W4281557029C153349607 @default.
- W4281557029 hasConceptScore W4281557029C154945302 @default.
- W4281557029 hasConceptScore W4281557029C167900197 @default.
- W4281557029 hasConceptScore W4281557029C168406668 @default.
- W4281557029 hasConceptScore W4281557029C184297639 @default.
- W4281557029 hasConceptScore W4281557029C2775937380 @default.
- W4281557029 hasConceptScore W4281557029C2777826928 @default.
- W4281557029 hasConceptScore W4281557029C31972630 @default.
- W4281557029 hasConceptScore W4281557029C38652104 @default.
- W4281557029 hasConceptScore W4281557029C41008148 @default.
- W4281557029 hasConceptScore W4281557029C9417928 @default.
- W4281557029 hasLocation W42815570291 @default.
- W4281557029 hasOpenAccess W4281557029 @default.
- W4281557029 hasPrimaryLocation W42815570291 @default.
- W4281557029 hasRelatedWork W1577408315 @default.
- W4281557029 hasRelatedWork W1986702455 @default.
- W4281557029 hasRelatedWork W2075195932 @default.
- W4281557029 hasRelatedWork W2169451512 @default.
- W4281557029 hasRelatedWork W2557271934 @default.
- W4281557029 hasRelatedWork W2941240443 @default.
- W4281557029 hasRelatedWork W3042208541 @default.
- W4281557029 hasRelatedWork W3193477356 @default.
- W4281557029 hasRelatedWork W4285014388 @default.
- W4281557029 hasRelatedWork W2599706618 @default.
- W4281557029 isParatext "false" @default.
- W4281557029 isRetracted "false" @default.
- W4281557029 workType "article" @default.