Article ID Journal Published Year Pages File Type
533438 Pattern Recognition 2012 10 Pages PDF
Abstract

As suggested by modern paleography, the width of ink traces is a powerful source of information for off-line writer identification, particularly if combined with its direction. Such measurements can be computed using simple, fast and accurate methods based on pixel contours, the combination of which forms a powerful feature for writer identification: the Quill feature. It is a probability distribution of the relation between the ink direction and the ink width. It was tested in writer identification experiments on two datasets of challenging medieval handwriting and two datasets of modern handwriting. The feature achieved a nearest-neighbor accuracy in the range of 63–95%, which even approaches the performance of two state-of-the-art features in contemporary-writer identification (Hinge and Fraglets). The feature is intuitive and explainable and its principle is supported by a model of trace production by a quill. It illustrates that ink width patterns are valuable. A slightly more complex variant of Quill, QuillHinge, scored 70–97% writer identification accuracy. The features are already being used by domain experts using a graphical interface.

► Ink trace-width variation can be used for writer identification. ► Ink trace width and direction form a valuable combination for writer identification. ► A new powerful feature for writer identification is introduced.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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