Interactive Character Segmentation of Ancient Documents by Controlling Binary Level and its Evaluation

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  • 古文書画像の2値化レベル制御による対話型文字分割とその評価
  • コモンジョ ガゾウ ノ 2チカ レベル セイギョ ニヨル タイワガタ モジ ブ

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Abstract

Almost all ancient documents were handwritten with cursive styles using writing brush, as result, successive strokes that represent characters are generally connected and individual character patterns are considerably deformed. Character segmentation for documents plays an important role in character recognition and in building image database using such documents. In order to segment each character on a document, we identify the points at which the pressure of the writing brush changes infinitesimally between individual characters. We propose a method for effective segment positioning by automatic binary level control and interactive character segmentation. Result using the above method for character segmentation indicates that the proposed method has an 84.5% ratio of segmentation, which is about 27.2% higher as compared with the result when the method is not used. This paper describes the algorithm for estimating effective segmentation position and result based on this algorithm are evaluated.

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