I presented the paper “Exploring Handwritten Document Collections: An EPSC-Based Approach for Feature Extraction and Similarity Analysis” at 21st Conference on Information and Research Science Connecting to Digital and Library Science – IRCDL 2025, February 20–21, 2025, Udine, Italy
Published by Anders
Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor and in 2019 he became professor in image processing, both at Uppsala University. He has been affiliated with UPPMAX super computer centre where he worked as an application expert in Scientific Visualisation and later in the field of digital humanities together with the Centre for digital humanities in Uppsala. His recent research has focused on image processing and computer vision, for applications in microscopy, aerial photography, object recognition and especially hand written text recognition and face recognition. View all posts by Anders
Anders Hast 