Training-free and segmentation-free word spotting using feature matching and query expansion
Historical handwritten text recognition is an interesting yet challenging problem. In recent
times, deep learning based methods have achieved significant performance in handwritten …
times, deep learning based methods have achieved significant performance in handwritten …
[PDF][PDF] Magnitude of Semicircle Tiles in Fourier-space-A Handcrafted Feature Descriptor for Word Recognition using Embedded Prototype Subspace Classifiers.
A Hast - J. WSCG, 2022 - wscg.zcu.cz
The purpose of this paper is to in detail describe and analyse a Fourier based handcrafted
descriptor for word recognition. Especially, it is discussed how the Variability in the results …
descriptor for word recognition. Especially, it is discussed how the Variability in the results …
Making large collections of handwritten material easily accessible and searchable
Libraries and cultural organisations contain a rich amount of digitised historical handwritten
material in the form of scanned images. A vast majority of this material has not been …
material in the form of scanned images. A vast majority of this material has not been …
Image and Data Analysis for Biomedical Quantitative Microscopy
DJ Matuszewski - 2019 - diva-portal.org
This thesis presents automatic image and data analysis methods to facilitate and improve
microscopy-based research and diagnosis. New technologies and computational tools are …
microscopy-based research and diagnosis. New technologies and computational tools are …