Pattern Recognition Group Wins Best Student Paper Award at ICFHR 2018
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The 16th International Conference on Frontiers in Handwriting Recognition (ICFHR 2018) has been held August 5-8, 2018 in Niagara Falls (USA). ICFHR is the flagship conference for handwriting recognition research and applications. The conference brings together experts from academia and industry to share their experiences and advance research in all aspects of handwriting recognition technologies. During the conference, outstanding contributions are recognized by awards for the best paper, the best student paper, and the best poster sponsored by IAPR, the International Association for Pattern Recognition.
This year, the IAPR Best Student Paper Award goes to
Eugen Rusakov, Leonard Rothacker, Hyunho Mo, and Gernot A. Fink
from the Pattern Recognition Group, Department of Computer Science, TU Dortmund, Germany for their paper
A Probabilistic Retrieval Model for Word Spotting based on Direct Attribute Prediction.
In this paper the authors present an extension of the successful deep learning method for word spotting developed in the same research group – the so-called PHOCNet – that significantly improves retrieval performance on challenging word spotting tasks by casting the matching procedure between queries and target words into a probabilistic framework.