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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Using HMM Based Recognizers for Writer Identification and Verification
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
Andreas Schlapbach, University of Bern
Horst Bunke, University of Bern
In this paper, we use HMM based recognizers for the identification and verification of persons based on their handwriting. For each writer, we build an individual recognizer and train it on text lines of that writer. This gives us recognizers that are experts on the handwriting of exactly one writer. In the identification or verification phase, a text line of unknown origin is presented to each of these recognizers and each one returns a transcription that includes the log-likelihood score for the considered input. These scores are sorted and the resulting ranking is used for both identification and verification. In an identification experiment in 96.56% of all cases the writer out of a set of 100 writers is correctly identified. Second, in a verification experiment using over 8,600 text lines from 120 writers an Equal Error Rate (EER) of about 2.5% is achieved.
Index Terms:
writer identification, writer verification, offline handwriting, HMM based handwriting recognition
Citation:
Andreas Schlapbach, Horst Bunke, "Using HMM Based Recognizers for Writer Identification and Verification," iwfhr, pp.167-172, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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