Axial Representation of Character by Using Wavelet Transform

Xinge You; Bin Fang; Yuan Yan Tang; Luoqing Li; Dan Zhang

doi:10.1007/11540007_17

Axial Representation of Character by Using Wavelet Transform

Xinge You, Bin Fang, Yuan Yan Tang, Luoqing Li, Dan Zhang

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

Axial representation plays a significant role in character recognition. The strokes of a character may consist of two regions, i.e. singular and regular regions. Therefore, a method to extract the central axis of a character requires two different processes to compute the axis in theses two different regions. The major problem of most traditional algorithms is that the extracted central axis in the singular region may be distorted by artifacts and branches. To overcome this problem, the wavelet-based amendment processing technique is developed to link the primary axis, so that the central axis in the singular region can be produced. Combining with our previously developed method for computing the primary axis in the regular region, we develop a novel scheme of extracting the central axis of character based on the wavelet transform (WT). Experimental results show that the final axis obtained from the proposed scheme closely resembles the human perceptions. It is applicable to both binary image and gray-level image as well. The axis representation is robust against noise.

Original language	English
Title of host publication	Fuzzy Systems and Knowledge Discovery
Subtitle of host publication	Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
Editors	Lipo Wang, Yaochu Jin
Publisher	Springer Berlin Heidelberg
Pages	130-139
Number of pages	10
Edition	1st
ISBN (Electronic)	9783540318286
ISBN (Print)	9783540283317
DOIs	https://doi.org/10.1007/11540007_17
Publication status	Published - 17 Aug 2006
Event	2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsa, China Duration: 27 Aug 2005 → 29 Aug 2005

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	3614
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
ISSN (Print)	2945-9133
ISSN (Electronic)	2945-9141

Name	FSKD: International Conference on Fuzzy Systems and Knowledge Discovery

Conference

Conference	2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
Country/Territory	China
City	Changsa
Period	27/08/05 → 29/08/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/11540007_17

Cite this

You, X., Fang, B., Tang, Y. Y., Li, L., & Zhang, D. (2006). Axial Representation of Character by Using Wavelet Transform. In L. Wang, & Y. Jin (Eds.), Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II (1st ed., pp. 130-139). (Lecture Notes in Computer Science; Vol. 3614), (Lecture Notes in Artificial Intelligence), (FSKD: International Conference on Fuzzy Systems and Knowledge Discovery). Springer Berlin Heidelberg. https://doi.org/10.1007/11540007_17

You, Xinge ; Fang, Bin ; Tang, Yuan Yan et al. / Axial Representation of Character by Using Wavelet Transform. Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. editor / Lipo Wang ; Yaochu Jin. 1st. ed. Springer Berlin Heidelberg, 2006. pp. 130-139 (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). (FSKD: International Conference on Fuzzy Systems and Knowledge Discovery).

@inproceedings{29231b274a5d43ac8c4c8fa0e52ab78e,

title = "Axial Representation of Character by Using Wavelet Transform",

abstract = "Axial representation plays a significant role in character recognition. The strokes of a character may consist of two regions, i.e. singular and regular regions. Therefore, a method to extract the central axis of a character requires two different processes to compute the axis in theses two different regions. The major problem of most traditional algorithms is that the extracted central axis in the singular region may be distorted by artifacts and branches. To overcome this problem, the wavelet-based amendment processing technique is developed to link the primary axis, so that the central axis in the singular region can be produced. Combining with our previously developed method for computing the primary axis in the regular region, we develop a novel scheme of extracting the central axis of character based on the wavelet transform (WT). Experimental results show that the final axis obtained from the proposed scheme closely resembles the human perceptions. It is applicable to both binary image and gray-level image as well. The axis representation is robust against noise.",

author = "Xinge You and Bin Fang and Tang, {Yuan Yan} and Luoqing Li and Dan Zhang",

note = "This research was partially supported by a grant (60403011 and 10371033) from National Natural Science Foundation of China and a grant (2003ABA012 ) and (20045006071-17) from Science & Technology Department, Hubei province and Wuhan respectively, China. This research was also supported by the grants (RGC and FRG) from Hong Kong Baptist University. Publisher copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2005; 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 ; Conference date: 27-08-2005 Through 29-08-2005",

year = "2006",

month = aug,

day = "17",

doi = "10.1007/11540007_17",

language = "English",

isbn = "9783540283317",

series = "Lecture Notes in Computer Science",

publisher = "Springer Berlin Heidelberg",

pages = "130--139",

editor = "Lipo Wang and Yaochu Jin",

booktitle = "Fuzzy Systems and Knowledge Discovery",

edition = "1st",

}

You, X, Fang, B, Tang, YY, Li, L & Zhang, D 2006, Axial Representation of Character by Using Wavelet Transform. in L Wang & Y Jin (eds), Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. 1st edn, Lecture Notes in Computer Science, vol. 3614, Lecture Notes in Artificial Intelligence, FSKD: International Conference on Fuzzy Systems and Knowledge Discovery, Springer Berlin Heidelberg, pp. 130-139, 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005, Changsa, China, 27/08/05. https://doi.org/10.1007/11540007_17

Axial Representation of Character by Using Wavelet Transform. / You, Xinge; Fang, Bin; Tang, Yuan Yan et al.
Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. ed. / Lipo Wang; Yaochu Jin. 1st. ed. Springer Berlin Heidelberg, 2006. p. 130-139 (Lecture Notes in Computer Science; Vol. 3614), (Lecture Notes in Artificial Intelligence), (FSKD: International Conference on Fuzzy Systems and Knowledge Discovery).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Axial Representation of Character by Using Wavelet Transform

AU - You, Xinge

AU - Fang, Bin

AU - Tang, Yuan Yan

AU - Li, Luoqing

AU - Zhang, Dan

N1 - This research was partially supported by a grant (60403011 and 10371033) from National Natural Science Foundation of China and a grant (2003ABA012 ) and (20045006071-17) from Science & Technology Department, Hubei province and Wuhan respectively, China. This research was also supported by the grants (RGC and FRG) from Hong Kong Baptist University. Publisher copyright: © Springer-Verlag Berlin Heidelberg 2005

PY - 2006/8/17

Y1 - 2006/8/17

N2 - Axial representation plays a significant role in character recognition. The strokes of a character may consist of two regions, i.e. singular and regular regions. Therefore, a method to extract the central axis of a character requires two different processes to compute the axis in theses two different regions. The major problem of most traditional algorithms is that the extracted central axis in the singular region may be distorted by artifacts and branches. To overcome this problem, the wavelet-based amendment processing technique is developed to link the primary axis, so that the central axis in the singular region can be produced. Combining with our previously developed method for computing the primary axis in the regular region, we develop a novel scheme of extracting the central axis of character based on the wavelet transform (WT). Experimental results show that the final axis obtained from the proposed scheme closely resembles the human perceptions. It is applicable to both binary image and gray-level image as well. The axis representation is robust against noise.

AB - Axial representation plays a significant role in character recognition. The strokes of a character may consist of two regions, i.e. singular and regular regions. Therefore, a method to extract the central axis of a character requires two different processes to compute the axis in theses two different regions. The major problem of most traditional algorithms is that the extracted central axis in the singular region may be distorted by artifacts and branches. To overcome this problem, the wavelet-based amendment processing technique is developed to link the primary axis, so that the central axis in the singular region can be produced. Combining with our previously developed method for computing the primary axis in the regular region, we develop a novel scheme of extracting the central axis of character based on the wavelet transform (WT). Experimental results show that the final axis obtained from the proposed scheme closely resembles the human perceptions. It is applicable to both binary image and gray-level image as well. The axis representation is robust against noise.

UR - http://www.scopus.com/inward/record.url?scp=33749038634&partnerID=8YFLogxK

U2 - 10.1007/11540007_17

DO - 10.1007/11540007_17

M3 - Conference proceeding

AN - SCOPUS:33749038634

SN - 9783540283317

T3 - Lecture Notes in Computer Science

SP - 130

EP - 139

BT - Fuzzy Systems and Knowledge Discovery

A2 - Wang, Lipo

A2 - Jin, Yaochu

PB - Springer Berlin Heidelberg

T2 - 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005

Y2 - 27 August 2005 through 29 August 2005

ER -

You X, Fang B, Tang YY, Li L, Zhang D. Axial Representation of Character by Using Wavelet Transform. In Wang L, Jin Y, editors, Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. 1st ed. Springer Berlin Heidelberg. 2006. p. 130-139. (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). (FSKD: International Conference on Fuzzy Systems and Knowledge Discovery). doi: 10.1007/11540007_17

Axial Representation of Character by Using Wavelet Transform

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this