Font recognition based on global texture analysis

Yong Zhu; Tieniu Tan; Yunhong Wang

doi:10.1109/ICDAR.1999.791796

Font recognition based on global texture analysis

Yong Zhu
, Tieniu Tan
, Yunhong Wang

CAS - Institute of Automation

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

6 Scopus citations

Abstract

In this paper, we describe a new texture analysis based approach towards font recognition. Existing methods are typically based on local features that often require connected components analysis. In our new method, we take the document as an image containing some special textures, and font recognition as texture identification. The method is content independent and involves no local feature analysis. Global features are extracted by texture analysis. We apply the well-established 2D Gabor filtering technique to extract such features and a weighted Euclidean distance classifier to fulfil the recognition task. Experiments are made using 6,000 samples of 24 frequently used Chinese fonts (6 typefaces combined with 4 styles) and very promising results are achieved.

Original language	English
Title of host publication	Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
Publisher	IEEE Computer Society
Pages	349-352
Number of pages	4
ISBN (Electronic)	0769503187
DOIs	https://doi.org/10.1109/ICDAR.1999.791796
State	Published - 1999
Externally published	Yes
Event	5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India Duration: 20 Sep 1999 → 22 Sep 1999

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)	1520-5363

Conference

Conference	5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/Territory	India
City	Bangalore
Period	20/09/99 → 22/09/99

Access to Document

10.1109/ICDAR.1999.791796

Cite this

Zhu, Y., Tan, T., & Wang, Y. (1999). Font recognition based on global texture analysis. In Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999 (pp. 349-352). Article 791796 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1999.791796

@inproceedings{fffe7b62fb524a118d8b3198c086830d,

title = "Font recognition based on global texture analysis",

abstract = "In this paper, we describe a new texture analysis based approach towards font recognition. Existing methods are typically based on local features that often require connected components analysis. In our new method, we take the document as an image containing some special textures, and font recognition as texture identification. The method is content independent and involves no local feature analysis. Global features are extracted by texture analysis. We apply the well-established 2D Gabor filtering technique to extract such features and a weighted Euclidean distance classifier to fulfil the recognition task. Experiments are made using 6,000 samples of 24 frequently used Chinese fonts (6 typefaces combined with 4 styles) and very promising results are achieved.",

author = "Yong Zhu and Tieniu Tan and Yunhong Wang",

note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 5th International Conference on Document Analysis and Recognition, ICDAR 1999 ; Conference date: 20-09-1999 Through 22-09-1999",

year = "1999",

doi = "10.1109/ICDAR.1999.791796",

language = "英语",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

publisher = "IEEE Computer Society",

pages = "349--352",

booktitle = "Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999",

address = "美国",

}

Zhu, Y, Tan, T & Wang, Y 1999, Font recognition based on global texture analysis. in Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999., 791796, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, IEEE Computer Society, pp. 349-352, 5th International Conference on Document Analysis and Recognition, ICDAR 1999, Bangalore, India, 20/09/99. https://doi.org/10.1109/ICDAR.1999.791796

Font recognition based on global texture analysis. / Zhu, Yong; Tan, Tieniu; Wang, Yunhong.
Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999. IEEE Computer Society, 1999. p. 349-352 791796 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

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

TY - GEN

T1 - Font recognition based on global texture analysis

AU - Zhu, Yong

AU - Tan, Tieniu

AU - Wang, Yunhong

PY - 1999

Y1 - 1999

N2 - In this paper, we describe a new texture analysis based approach towards font recognition. Existing methods are typically based on local features that often require connected components analysis. In our new method, we take the document as an image containing some special textures, and font recognition as texture identification. The method is content independent and involves no local feature analysis. Global features are extracted by texture analysis. We apply the well-established 2D Gabor filtering technique to extract such features and a weighted Euclidean distance classifier to fulfil the recognition task. Experiments are made using 6,000 samples of 24 frequently used Chinese fonts (6 typefaces combined with 4 styles) and very promising results are achieved.

AB - In this paper, we describe a new texture analysis based approach towards font recognition. Existing methods are typically based on local features that often require connected components analysis. In our new method, we take the document as an image containing some special textures, and font recognition as texture identification. The method is content independent and involves no local feature analysis. Global features are extracted by texture analysis. We apply the well-established 2D Gabor filtering technique to extract such features and a weighted Euclidean distance classifier to fulfil the recognition task. Experiments are made using 6,000 samples of 24 frequently used Chinese fonts (6 typefaces combined with 4 styles) and very promising results are achieved.

UR - https://www.scopus.com/pages/publications/0002679230

U2 - 10.1109/ICDAR.1999.791796

DO - 10.1109/ICDAR.1999.791796

M3 - 会议稿件

AN - SCOPUS:0002679230

T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

SP - 349

EP - 352

BT - Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999

PB - IEEE Computer Society

T2 - 5th International Conference on Document Analysis and Recognition, ICDAR 1999

Y2 - 20 September 1999 through 22 September 1999

ER -

Font recognition based on global texture analysis

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