Writer identification by means of loop and lead-in features
نویسنده
چکیده
Writer identification is an important issue in forensic investigations. In this paper, we propose a novel method for identifying a writer by means of features of loops and lead-in strokes of produced letters. Using a k-nearestneighbor classifier, we were able to yield a correct identification performance of 98% on a database of 41 writers. These results are promising and have great potential for use in the forensic practice.
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