In this project, which is financed by the Swedish Research Council (VR, 2021-2025), the main focus is on face recognition in historical photos. however, there are also sub projects focusing on sex/gender and age classification, as well as scene object recognition. Papers Improving Face Image Retrieval in Historical Archives: Fusion of Mirrored Images and Better … Continue reading City Faces
The Labour’s Memory Project
In this three year project, funded by Riksbankens Jubileumsfond (RJ) and based at the Swedish Labour Movement’s Archives and Library, I have been focusing on Handwritten Text Recognition (HTR) of the notes. Paper Exploring Handwritten Document Collections: An EPSC-Based Approach for Feature Extraction and Similarity Analysis.Anders Hast, Örjan Simonsson.In the Proceedings of the 21st Conference on … Continue reading The Labour’s Memory Project
The Astrid Lindgren Code Project
In this three-year project (2020–2022), the focus was on automatic handwritten text transcription, and strike through removal, of the short hand (stenography) of the famous Swedish children author Astrid Lindgren. It resulted in one PhD thesis, five papers and two master thesis project. I was acting as supervisor for, but not co-author of two papers. … Continue reading The Astrid Lindgren Code Project
Presentation at MIRAI2.0 in Umeå
I participated in the MIRAI2.0 meeting and gave a short presentation during the "Implications of AI" seminar, chaired by Markus Liwicki (right), called "Impact of AI on the fields of palaeography and History".
Meetings about Handwritten Text Recognition
Lately I have had very fruitful discussion meeting with ArkivDigital and Riksarkivet about Handwritten Text Recognition and also Face Recognition, on historical materials. Therefore, I plan several master thesis during 2024, so please get in touch with me if you are interested!
Anders Hast 