Writer identification using an alphabet of contour gradient descriptors
R Jain, D Doermann�- 2013 12th International Conference on�…, 2013 - ieeexplore.ieee.org
2013 12th International Conference on Document Analysis and�…, 2013•ieeexplore.ieee.org
This paper presents a new method for writer identification, which emulates the approach
taken by forensic document examiners. It combines a novel feature, which uses contour
gradients to capture local shape and curvature, with character segmentation to create a
pseudo-alphabet for a given handwriting sample. A distance metric is then defined between
elements of these alphabets that captures character similarity between two handwriting
samples. This approach achieves a Top-1 identification rate of 96.5% on the benchmark IAM�…
taken by forensic document examiners. It combines a novel feature, which uses contour
gradients to capture local shape and curvature, with character segmentation to create a
pseudo-alphabet for a given handwriting sample. A distance metric is then defined between
elements of these alphabets that captures character similarity between two handwriting
samples. This approach achieves a Top-1 identification rate of 96.5% on the benchmark IAM�…
This paper presents a new method for writer identification, which emulates the approach taken by forensic document examiners. It combines a novel feature, which uses contour gradients to capture local shape and curvature, with character segmentation to create a pseudo-alphabet for a given handwriting sample. A distance metric is then defined between elements of these alphabets that captures character similarity between two handwriting samples. This approach achieves a Top-1 identification rate of 96.5% on the benchmark IAM dataset, reducing the error rate of previous approaches by 50%.
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