Ancient degraded document image binarization based on texture features

被引：0

作者：

Sehad, Abdenour ^{[1
]}

Chibani, Youcef ^{[2
]}

Cheriet, Mohamed ^{[3
]}

Yaddaden, Yacine

机构：

[1] ESI, Ecole Natl Super Informat, BP 68M 16309, Algiers 16309, Algeria

[2] Univ Sci & Technol Houari Boume, Fac Elect & Comp Sci, Algiers 16111, Algeria

[3] Ecole Technol Super, Montreal, PQ H3C 1K3, Canada

来源：

2013 8TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA) | 2013年

关键词：

binarization; degraded document; texture; threshold;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we present a promising method for binarization of historical and degraded document images, based on texture features. The proposed method is an adaptive threshold-based. This latter is computed by using a descriptor based on a co-occurrence matrix. The proposed method is tested objectively, using DIBCO dataset degraded documents and subjectively, using a set of ancient degraded documents provided by a national library. The results are satisfactory and promising, and present an improvement to classical methods.

引用

页码：189 / +

页数：3

共 18 条

[1] Ahuja N., 1977, TECH REP
[2] [Anonymous], [No title captured]
[3] Bersen J., 1986, Eighth International Conference on Pattern Recognition. Proceedings (Cat. No.86CH2342-4), P1251
[4] A NOTE ON THE USE OF THE GRAYLEVEL CO-OCCURRENCE MATRIX IN THRESHOLD SELECTION
CHANDA, B
MAJUMDER, DD
[J]. SIGNAL PROCESSING, 1988, 15 (02) : 149 - 167
[5] Adaptive degraded document image binarization
Gatos, B
Pratikakis, I
Perantonis, SJ
[J]. PATTERN RECOGNITION, 2006, 39 (03) : 317 - 327
[6] DIBCO 2009: document image binarization contest
Gatos, B.
Ntirogiannis, K.
Pratikakis, I.
[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2011, 14 (01) : 35 - 44
[7] COMPUTER CLASSIFICATION OF RESERVOIR SANDSTONES
HARALICK, RM
SHANMUGAM, K
[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1973, GE11 (04): : 171 - 177
[8] A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images
Hedjam, Rachid
Moghaddam, Reza Farrahi
Cheriet, Mohamed
[J]. PATTERN RECOGNITION, 2011, 44 (09) : 2184 - 2196
[9] Khurshid K., 2009, P SPIE 7247 DOCUMENT
[10] Document image binarization based on texture features
Liu, Y
Srihari, SN
[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (05) : 540 - 544

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