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Volume: 29 | Article ID: art00027
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Writer Identification in Modern and Historical Documents via Binary Pixel Patterns, Kolmogorov–Smirnov Test and Fisher's Method
  DOI :  10.2352/ISSN.2470-1173.2017.14.HVEI-144  Published OnlineJanuary 2017
Abstract

The 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. © 2017 Society for Imaging Science and Technology.

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Arie Shaus, Eli Turkel, "Writer Identification in Modern and Historical Documents via Binary Pixel Patterns, Kolmogorov–Smirnov Test and Fisher's Methodin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2017,  pp 203 - 211,  https://doi.org/10.2352/ISSN.2470-1173.2017.14.HVEI-144

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Copyright © Society for Imaging Science and Technology 2017
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Electronic Imaging
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