Logo des Repositoriums
 

Comparison of two architectures for text-independent verification after character-unaware text segmentation

dc.contributor.authorMaria De Marsico, Mohammadreza Shabani
dc.contributor.editorDamer, Naser
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira, Ana F.
dc.contributor.editorTodisco, Massimiliano
dc.contributor.editorUhl, Andreas
dc.date.accessioned2023-12-12T10:46:47Z
dc.date.available2023-12-12T10:46:47Z
dc.date.issued2023
dc.description.abstractThis paper compares the performance of two popular CNN architectures, ResNet-50 and MobileNetV2, fine-tuned for text-independent writer verification. The used benchmark is IAM dataset. The further contributions are an easy and fast sub-region cropping for robust model training, and a biometrics-oriented performance evaluation. The preliminary results are encouraging.en
dc.identifier.isbn978-3-88579-733-3
dc.identifier.issn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43271
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-339
dc.subjectOther emerging applications
dc.subjectBiometric and multimedia forensics; Biometric performance measurement
dc.titleComparison of two architectures for text-independent verification after character-unaware text segmentationen
dc.typeText/Conference Paper
mci.conference.date20.-22. September 2023
mci.conference.locationDarmstadt
mci.conference.sessiontitleFurther Conference Contributions
mci.reference.pages228-236

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
LNI_013.pdf
Größe:
3.86 MB
Format:
Adobe Portable Document Format