Segmentation methods for character recognition: from segmentation to document structure analysis

Fujisawa, Hiromichi; Nakano, Yasuaki; Kurino, K.

doi:10.1109/5.156471

Cited by 201 publications

(70 citation statements)

References 14 publications

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“…With the manual verification of the segmentation, 96.66% of digits were successively segmented. Besides, TABLE III gives the performance comparison between ours and several successive algorithms described in other literatures: traditional Drop-fall algorithm (DF) [6], algorithm of distance difference from upper contour to lower contour (DD) [7] and foreground analysis algorithm (FA) [8]. By using our strategy 95.6% of touching digits were correctly segmented exceeding the other algorithms, and recognition accuracy is increased consequently.…”

Section: Methodsmentioning

confidence: 98%

An Approach of Removing Stroke Based on Touching Pattern for Handwritten Digits Segmentation

Ma¹,

Cheng²,

Gu³

2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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-For finding precise segmentation, a new approach to remove and amend stroke connecting touching handwriting digits based on touching pattern is presented. Firstly, background region of touching digits is analyzed by using water reservoirs concept, and then the classification scheme is developed to identify the pattern of touching digits according to the structural features. In single-point touching type, two touching pairs of digits can be connected with a ligature, which can be a component of one of the digits or belong to no digit. After segmentation is performed to get isolated digits. the pattern-oriented ligature analysis investigates whether candidate ligature is a part of digit or a useless stroke and decides to be preserved or be removed. Experimental results show that the proposed approach is effective for segmentation of handwritten touching digits and segmentation errors have been reduced.

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Section: Methodsmentioning

confidence: 98%

An Approach of Removing Stroke Based on Touching Pattern for Handwritten Digits Segmentation

Ma¹,

Cheng²,

Gu³

2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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show abstract

“…Details of all classical typewritten character segmentation are out of scope of this text and enlightening surveys may be found in Casey et al [14] and Fujisawa et al [40].…”

Section: Is Character Segmentation Still Useful?mentioning

confidence: 99%

Natural Scene Text Understanding

Mancas-Thillou¹,

Gosselin²

2007

Vision Systems: Segmentation and Pattern Recognition

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“…The PLA is used as a pre-processing tool that decomposes the mixed-type documents into their main regions. The goal of the PLA is to discover formatting of the text and, from that, to derive meaning associated with the positional and functional blocks in which the text is located (Chauvet et al, 1992;Fujisawa et al, 1992;Schurmann et al, 1992;Witten et al 1994). A PLA method consists of two main steps.…”

Section: Document Multithresholdingmentioning

confidence: 99%