Writer identification in Modern and historical documents via binary pixel patterns, Kolmogorov-Smirnov test and Fisher's method

Arie Shaus, Eli Turkel

Research output: Contribution to journalArticlepeer-review

Abstract

Authors present a new method of writer identification, employing the full power of multiple experiments, which yields a statistically significant result. Each individual binarized and segmented character is represented as a histogram of 512 binary pixel patterns-3 × 3 black and white patches. In the process of comparing two given inscriptions under a "single author" assumption, the algorithm performs a Kolmogorov-Smirnov test for each letter and each patch. The resulting p-values are combined using Fisher's method, producing a single p-value. Experiments on both Modern and Ancient Hebrew data sets demonstrate the excellent performance and robustness of this approach.

Original languageEnglish
Article number010404
JournalJournal of Imaging Science and Technology
Volume61
Issue number1
DOIs
StatePublished - 1 Jan 2017

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