Paper Titles

Analysis of E-Mail Security Events and its Solutions
p.712

Robust Analysis on a Privacy Preserving Recommendation Algorithm under the KNN Attack
p.717

The Research of the Hybrid Volume Rendering Algorithm Based on GPU Technology
p.722

Triangulation-Based Point Cloud Data Processing Technology Research and Application
p.729

Recent Advances in Script Identification
p.734

Improved Elliptic Encryption Algorithm
p.741

A Collaborative Filtering Recommendation Algorithm Based on Cloud Model, Item Attribute and User Data
p.747

Research and Test on User Privilege Elevation Method in Windows 8
p.752

The Application of Compound Document Storage Technology in Forensic Analysis System
p.756

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 610Recent Advances in Script Identification

Recent Advances in Script Identification

Article Preview

Abstract:

There are a variety of different scripts in the world. Almost every country have there own languages and scripts which can distinguish from each other in different aspects. It is very essential to identify different scripts in multi-lingual, multi-script document. In recent years, different kinds of approaches have been developed for script identification and gotten promising results. In this paper, an overview of the script identification is proposed under different categories: script systems, extracted features and classification methods. Earlier researches and future property of this field is discussed. It is very obvious that, the research in this area is not so satisfied and still more research is to be done.

You might also be interested in these eBooks

Mechanics, Mechatronics, Intelligent System and Information Technology

Info:

Periodical:

Applied Mechanics and Materials (Volume 610)

Pages:

734-740

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.610.734

Citation:

Cite this paper

Online since:

August 2014

Authors:

Kurban Ubul*, Gulzira Tursun, Alim Aysa

Keywords:

Document Analysis, Multi-Script Document, Optical Character Recognition, Script Identification

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S. Mori, C.Y. Suen, K. Yamamoto, Historical Review of OCR Research and Development, Proc. IEEE (1992) 80 (7) 1029- 1058.

DOI: 10.1109/5.156468

[2] A. Spitz, Multilingual Document Recognition, Electronic Publishing, Document Manipulation, and Typography, R. Furuta, ed. Cambridge Univ. Press (1990) 193-206.

[3] A. Spitz, Determination of the script and language content of document images , IEEE Transact ions on Pattern Analysis and Machine Intelligence (1997) 19 (3) 235-245.

DOI: 10.1109/34.584100

[4] U. Pal and B.B. Chaudhuri, Indian Script Character Recognition: A Survey, Pattern Recognition (2004) 1887-1899.

DOI: 10.1016/j.patcog.2004.02.003

[5] G. D. Joshi, S. Garg and J. Sivaswamy, Script Identification from Indian Documents — Proc. IAPR Intl Workshop Document analysis Systems (Feb. 2006) 255-267.

DOI: 10.1007/11669487_23

[6] M. Swamy Das, D. Sandhya Rani, C. R. K. Reddy, Heuristic based Script Identification from Multilingual Text Documents, IEEE, 1st Int. Conf on Recent Advances in Information Technology (RAIT) (2012).

DOI: 10.1109/rait.2012.6194627

[7] Shamita Ghosh and Bidyut B. Chaudhuri, Composite Script Identification and Orientation Detection for Indian Text Images, IEEE Intl. Conf. on Document Analysis and Recognition (2011).

DOI: 10.1109/icdar.2011.67

[8] S. Chanda, U. Pal, K. Franke, F. Kimura, Script Identification – A Han & Roman Script Perspective, Pattern Recognition (ICPR) (2010) 2708 – 2711.

DOI: 10.1109/icpr.2010.1127

[9] U. Pal and B.B. Chaudhuri, Automatic Identification of English, Chinese, Arabic Devnagari and Bangla Script Line, Proc. Sixth Int'l Conf. Document Analysis and Recognition (2001) 790-794.

DOI: 10.1109/icdar.2001.953896

[10] K. Prakash, Aithal Rajesh, U. G. Dinesh, M. A. Krisnamoorthi, N. V. Subbareddy, Text Line Script Identification for a Trilingual Document, IEEE, 2nd Int. Conf. on Computing, Communication and Networking Technologies (2010).

DOI: 10.1109/icccnt.2010.5592562

[11] S. Chanda, O. R. Terrades and U. Pal, SVM Based Scheme for Thai and English Script Identification, In Proc. ICDAR (2007) 551-555.

DOI: 10.1109/icdar.2007.4378770

[12] M. C. Padma, P. A. Vijaya, Monothetic Separation of Telugu, Hindi and English Text Lines from a Multi Script Document, Systems, Man and Cybernetics (2009) 4870 – 4875.

DOI: 10.1109/icsmc.2009.5346045

[13] R. Gopakumar, N. V. Subareddy, K. Makkithaya, U. D. Acharya, Zone-based Structural feature extraction for Script Identification from Indian Documents, IEEE, 5th Int. Conf. on Industrial & Information Systems (2010).

DOI: 10.1109/iciinfs.2010.5578668

[14] S. A. Angadi, M. M. Kodabagi, A fuzzy approach for word level script identification of text in low resolution display board images using wavelet features Advances in Computing , Communications and Informatics (ICACCI) (2013) 1804 – 1811.

DOI: 10.1109/icacci.2013.6637455

[15] M. Benjelil, R. Mullot, and A. Alimi, Language and script identification based on Steerable Pyramid Features, in proc. of ICFHR (2012) 712-717.

DOI: 10.1109/icfhr.2012.226

[16] S. Chanda, S. Pal, K. Franke and U. Pal, Two-stage Approach for Word-wise Script Identification, in Proc. ICDAR (2009) 926-930.

DOI: 10.1109/icdar.2009.239

[17] A. Saidani, A. K. Echi, A. Belaid, Identification of Machine-printed and Handwritten Words in Arabic and Latin Scripts, Document Analysis and Recognition (ICDAR) (2013) 798 – 802.

DOI: 10.1109/icdar.2013.163

[18] B. V. Dhandra, M. Hangarge, R. Hegadi and V. S. Malemath, Word Level Script Identification in Bilingual Documents through Discriminating Features, IEEE - ICSCN (2007) 630-635.

DOI: 10.1109/icscn.2007.350686

[19] R. Rani, R. Dhir, G. S. Lehal, Script Identification of Pre-Segmented Multi-Font Characters and Digits, Document Analysis and Recognition (ICDAR) (2013) 1150 – 1154.

DOI: 10.1109/icdar.2013.233

[20] L. Lam, J. Ding, and C. Y. Suen, Differentiating between Oriental and European Scripts by Statistical Features, Int. J. Pattern Recognition and Artificial Intelligence, 12 (1998) 63-79.

DOI: 10.1142/s0218001498000063

[21] U. Pal, B. B. Choudhuri, Script line separation from Indian multi-Script documents, Proc. of fifth Intl. Conf. on Document Analysis and Recognition (IEEE computer society press) (1999) 406-409.

DOI: 10.1109/icdar.1999.791810

[22] J. Cheng, X. Ping, G. Zhou, and Y. Yang, Script Identification of Document Image Analysis, Proc. Int'l Conf. Innovative Computing, Information, and Control (2006) 178-181.

DOI: 10.1109/icicic.2006.518

[23] P. K. Aithal, G. Rajesh, Dinesh U. Acharya, M. Krisnamoorthi , N.V. Subbareddy, Text Line Script Identification for a Trilingual Document, IEEE, 2nd Intl. Conf. on Computing, Communication and Networking Technologies (2010).

DOI: 10.1109/icccnt.2010.5592562

[24] S. Kanoun, A. Ennaji, Y. LeCourtier and A. M. Alimi, Script and Nature Differentiation for Arabic and Latin Text Images, In Proc. IWFHR (2002) 309-313.

DOI: 10.1109/iwfhr.2002.1030928

[25] U. Pal, S. Sinha and B. B Chaudhuri, Word-wise Script identification from a document containing English, Devnagari and Telgu Text, Proc. of NCDAR (2003) 213- 220.

[26] B. V. Dhandra, H. Maliikarjun, R. Hegadi, V. S. Malemath, Word-wise script identification based on morphological reconstruction in printed bilingual documents (2006).

DOI: 10.1049/cp:20060562

[27] A. Busch, W. W. Bolse, Sridharan. Texture for script identification, IEEE Transaction on Pattern Analysis and Machine Intelligence (2005) 1720-1732.

DOI: 10.1109/tpami.2005.227

[28] A. Busch, Multi-Font Script Identification Using Texture-Based Features, Proc. Int'l Conf. Image Analysis and Recognition (2006) 844- 852.

DOI: 10.1007/11867661_76

[29] P. S Hiremath, S. Shivashankar, Wavelet based co-occurrence histogram features for texture classification with an application to script identification in a document image, Pattern Recognition Letters (2008) 1182-1189.

DOI: 10.1016/j.patrec.2008.01.012

[30] P. S. Hiremath, S. Shivashankar, J. D. Pujari, V. Mouneswara, Script Identification in a handwritten document image using texture features, IEEE, Proc. 2nd Intl. Advance Computing Conf. (2010).

DOI: 10.1109/iadcc.2010.5423028

[31] M. C. Padma, P. A. Vijaya, Entropy Based Texture Features Useful for Automatic Script Identification (2010).

[32] B. V. Dhandra and M. Hangarge, Global and Local Features Based Handwritten Text Words and Numerals Script identification, in Proc. of ICCIMA (2007) 471-475.

DOI: 10.1109/iccima.2007.125

[33] J. Gllavata and B. Freisleben, Script Recognition in Images with Complex Backgrounds, In Proc. IEEE International Symposium on Signal Processing and Information Technology (2005) 589-594.

DOI: 10.1109/isspit.2005.1577163

[34] P.B. Pati and A.G. Ramakrishnan, HVS Inspired System for Script Identification in Indian Multi-Script Documents, Proc. Int'l Workshop Document Analysis Systems (2006) 380-389.

DOI: 10.1007/11669487_34

[35] D. Zhao, P. Shivakumara, Shijian Lu, C. L. Tan, New Spatial-Gradient-Features for Video Script Identification, Document Analysis Systems (DAS) (2012) 38 – 42.

DOI: 10.1109/das.2012.57

[36] V. Ablavsky and M.R. Stevens, Automatic Feature Selection with Applications to Script Identification of Degraded Documents, Proc. Int. Conf. Document Analysis and Recognition (2003) 750-754.

DOI: 10.1109/icdar.2003.1227762

[37] S. Chanda, O. R. Terrades and U. Pal, SVM Based Scheme for Thai and English Script Identification, In Proc. ICDAR (2007) 551-555.

DOI: 10.1109/icdar.2007.4378770

[38] Kolkata, Word-wise Sinhala Tamil and English Script Identification Using Gaussian Kernel SVM, 19th International Conference on Pattern Recognition (ICPR 2008).

DOI: 10.1109/icpr.2008.4761823

[39] S. Chanda, K. Franke, U. Pal, Identification of Indic Scripts on Torn-Documents, Document Analysis and Recognition (ICDAR) (2011) 713 – 717.

DOI: 10.1109/icdar.2011.149

[40] N. Sharma, S. Chanda, U. Pal, Blumenstein, Word-wise Script Identification from Video Frames, Document Analysis and Recognition (ICDAR) (2013) 867 – 871.

DOI: 10.1109/icdar.2013.177

[41] J. J. Pan, Y. Y. Tang, A rotation-robust script identification based on BEMD and LBP, In Proc. ICWAPR (2011) 165-170.

DOI: 10.1109/icwapr.2011.6014479

[42] S. B. Patil and N.V. SubbaReddy, Neural network based system for script identification in Indian documents (2002) 83-97.

DOI: 10.1007/bf02703314

[43] K. Roy, U. Pal, and B. B. Chaudhuri, Neural Network Based Word-Wise Handwritten Script Identification System for Indian Postal Automation, Proc. Int'l Conf. Intelligent Sensing and Information Processing (2005) 240-245.

DOI: 10.1109/icisip.2005.1529455

[44] K. Roy, S. K. Das, S. M. Obaidullah, Script Identification from Handwritten Document, Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) (2011) 66 – 69.

DOI: 10.1109/ncvpripg.2011.22

[45] D. Ghosh, T. Dube and A. P. Shivaprasad, Script Recognition-A Review, IEEE Transactions on PAMI (2010) 2142-2161.

[46] Trung Quy Phan, P. Shivakumara, Zhang Ding, Shijian Lu, C. L. Tan, Video Script Identification based on Text Lines, Document Analysis and Recognition (ICDAR) (2011) 1240 – 1244.

DOI: 10.1109/icdar.2011.250

[47] L. Li and C. L. Tan, Script Identification of Camera-based Images, In Proc. ICPR (2008) 111-117.