Retrieval of Rashi semi-cursive handwriting via fuzzy logic

Eran Gur; Zeev Zalevsky

doi:10.1109/ICFHR.2012.262

Retrieval of Rashi semi-cursive handwriting via fuzzy logic

Eran Gur, Zeev Zalevsky

Jerusalem College of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Text recognition and retrieval is a well known problem. Automated optical character recognition (OCR) tools do not supply a complete solution and in most cases human inspection is required. In this paper the authors suggest a novel text recognition algorithm based on usage of fuzzy logic rules relying on statistical data of the analyzed font. The new approach combines letter statistics and correlation coefficients in a set of fuzzy based rules, enabling the recognition of distorted letters that may not be retrieved otherwise. The authors focused on Rashi fonts associated with commentaries of the Bible that are actually handwritten calligraphy.

Original language	English
Title of host publication	Proceedings - 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012
Pages	354-359
Number of pages	6
DOIs	https://doi.org/10.1109/ICFHR.2012.262
State	Published - 2012
Event	13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012 - Bari, Italy Duration: 18 Sep 2012 → 20 Sep 2012

Publication series

Name	Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR
ISSN (Print)	1550-5235

Conference

Conference	13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012
Country/Territory	Italy
City	Bari
Period	18/09/12 → 20/09/12

Keywords

Character recognition
Document analysis systems
Fuzzy logic

Access to Document

10.1109/ICFHR.2012.262

Cite this

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title = "Retrieval of Rashi semi-cursive handwriting via fuzzy logic",

abstract = "Text recognition and retrieval is a well known problem. Automated optical character recognition (OCR) tools do not supply a complete solution and in most cases human inspection is required. In this paper the authors suggest a novel text recognition algorithm based on usage of fuzzy logic rules relying on statistical data of the analyzed font. The new approach combines letter statistics and correlation coefficients in a set of fuzzy based rules, enabling the recognition of distorted letters that may not be retrieved otherwise. The authors focused on Rashi fonts associated with commentaries of the Bible that are actually handwritten calligraphy.",

keywords = "Character recognition, Document analysis systems, Fuzzy logic",

author = "Eran Gur and Zeev Zalevsky",

year = "2012",

doi = "10.1109/ICFHR.2012.262",

language = "אנגלית",

isbn = "9780769547749",

series = "Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR",

pages = "354--359",

booktitle = "Proceedings - 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012",

note = "13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012 ; Conference date: 18-09-2012 Through 20-09-2012",

}

Gur, E & Zalevsky, Z 2012, Retrieval of Rashi semi-cursive handwriting via fuzzy logic. in Proceedings - 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012., 6424419, Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR, pp. 354-359, 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012, Bari, Italy, 18/09/12. https://doi.org/10.1109/ICFHR.2012.262

Retrieval of Rashi semi-cursive handwriting via fuzzy logic. / Gur, Eran; Zalevsky, Zeev.
Proceedings - 13th International Conference on Frontiers in Handwriting Recognition, ICFHR 2012. 2012. p. 354-359 6424419 (Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Text recognition and retrieval is a well known problem. Automated optical character recognition (OCR) tools do not supply a complete solution and in most cases human inspection is required. In this paper the authors suggest a novel text recognition algorithm based on usage of fuzzy logic rules relying on statistical data of the analyzed font. The new approach combines letter statistics and correlation coefficients in a set of fuzzy based rules, enabling the recognition of distorted letters that may not be retrieved otherwise. The authors focused on Rashi fonts associated with commentaries of the Bible that are actually handwritten calligraphy.

KW - Character recognition

KW - Document analysis systems

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Retrieval of Rashi semi-cursive handwriting via fuzzy logic

Abstract

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Conference

Keywords

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