Comparison of two architectures for text-independent verification after character-unaware text segmentation
dc.contributor.author | Maria De Marsico, Mohammadreza Shabani | |
dc.contributor.editor | Damer, Naser | |
dc.contributor.editor | Gomez-Barrero, Marta | |
dc.contributor.editor | Raja, Kiran | |
dc.contributor.editor | Rathgeb, Christian | |
dc.contributor.editor | Sequeira, Ana F. | |
dc.contributor.editor | Todisco, Massimiliano | |
dc.contributor.editor | Uhl, Andreas | |
dc.date.accessioned | 2023-12-12T10:46:47Z | |
dc.date.available | 2023-12-12T10:46:47Z | |
dc.date.issued | 2023 | |
dc.description.abstract | This 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.isbn | 978-3-88579-733-3 | |
dc.identifier.issn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/43271 | |
dc.language.iso | en | |
dc.pubPlace | Bonn | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | BIOSIG 2023 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-339 | |
dc.subject | Other emerging applications | |
dc.subject | Biometric and multimedia forensics; Biometric performance measurement | |
dc.title | Comparison of two architectures for text-independent verification after character-unaware text segmentation | en |
dc.type | Text/Conference Paper | |
mci.conference.date | 20.-22. September 2023 | |
mci.conference.location | Darmstadt | |
mci.conference.sessiontitle | Further Conference Contributions | |
mci.reference.pages | 228-236 |
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