activity
20172022
collaborators

6 papers

cs.CV2022

Paired Image to Image Translation for Strikethrough Removal From Handwritten Words

Raphaela Heil, Ekta Vats, Anders Hast

Transcribing struck-through, handwritten words, for example for the purpose of genetic criticism, can pose a challenge to both humans and machines, due to the obstructive propertie…

cs.DL2018

TexT - Text Extractor Tool for Handwritten Document Transcription and Annotation

Anders Hast, Per Cullhed, Ekta Vats

This paper presents a framework for semi-automatic transcription of large-scale historical handwritten documents and proposes a simple user-friendly text extractor tool, TexT for t…

cs.CV2017

Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing

Prashant Singh, Ekta Vats, Anders Hast

Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality me…

cs.IR2017

Automatic Document Image Binarization using Bayesian Optimization

Ekta Vats, Anders Hast, Prashant Singh

Document image binarization is often a challenging task due to various forms of degradation. Although there exist several binarization techniques in literature, the binarized image…

cs.IR2017

On-the-fly Historical Handwritten Text Annotation

Ekta Vats, Anders Hast

The performance of information retrieval algorithms depends upon the availability of ground truth labels annotated by experts. This is an important prerequisite, and difficulties a…

cs.CV2017

Radial Line Fourier Descriptor for Historical Handwritten Text Representation

Anders Hast, Ekta Vats

Automatic recognition of historical handwritten manuscripts is a daunting task due to paper degradation over time. Recognition-free retrieval or word spotting is popularly used for…