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.
Comparison of two architectures for text-independent verification after character-unaware text segmentation / De Marsico, M.; Shabani, M.. - (2023), pp. 1-5. (Intervento presentato al convegno 22nd International Conference of the Biometrics Special Interest Group, BIOSIG 2023 tenutosi a Darmstadt) [10.1109/BIOSIG58226.2023.10413930].
Comparison of two architectures for text-independent verification after character-unaware text segmentation
De Marsico M.;
2023
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
