Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel

Abdulrahman Alalshekmubarak; Amir Hussain; Qiu Feng Wang

doi:10.1007/978-3-642-34481-7_11

Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel

Abdulrahman Alalshekmubarak, Amir Hussain, Qiu Feng Wang^*

^*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

Handwriting recognition is a complicated process that many applications rely on, such as mail sorting, cheque processing, digitalisation and translation. The recognition of handwritten Arabic is still an ongoing challenge mainly due to the similarity among its letters and the variety of writing styles. In this paper, a novel approach is proposed that uses support vector machines (SVMs) with normalized poly kernel. The well-known Arabic handwritten database, IFN/ENIT-database, which contains 936 city names with more than 32,492 instances, is used to test the proposed system. The results of this novel approach are compared with the results of two different studies. The comparison shows that a higher accuracy rate is obtained using the proposed system.

Original language	English
Title of host publication	Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings
Pages	85-91
Number of pages	7
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-34481-7_11
Publication status	Published - 2012
Externally published	Yes
Event	19th International Conference on Neural Information Processing, ICONIP 2012 - Doha, Qatar Duration: 12 Nov 2012 → 15 Nov 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7664 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th International Conference on Neural Information Processing, ICONIP 2012
Country/Territory	Qatar
City	Doha
Period	12/11/12 → 15/11/12

Keywords

Feature extraction
Normalized poly kernel
Offline word recognition
SVM

Access to Document

10.1007/978-3-642-34481-7_11

Cite this

Alalshekmubarak, A., Hussain, A., & Wang, Q. F. (2012). Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. In Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings (PART 2 ed., pp. 85-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7664 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-34481-7_11

Alalshekmubarak, Abdulrahman ; Hussain, Amir ; Wang, Qiu Feng. / Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 2. ed. 2012. pp. 85-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{d08ccad9b71c42bbba5e4c5318931984,

title = "Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel",

abstract = "Handwriting recognition is a complicated process that many applications rely on, such as mail sorting, cheque processing, digitalisation and translation. The recognition of handwritten Arabic is still an ongoing challenge mainly due to the similarity among its letters and the variety of writing styles. In this paper, a novel approach is proposed that uses support vector machines (SVMs) with normalized poly kernel. The well-known Arabic handwritten database, IFN/ENIT-database, which contains 936 city names with more than 32,492 instances, is used to test the proposed system. The results of this novel approach are compared with the results of two different studies. The comparison shows that a higher accuracy rate is obtained using the proposed system.",

keywords = "Feature extraction, Normalized poly kernel, Offline word recognition, SVM",

author = "Abdulrahman Alalshekmubarak and Amir Hussain and Wang, {Qiu Feng}",

year = "2012",

doi = "10.1007/978-3-642-34481-7_11",

language = "English",

isbn = "9783642344800",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "85--91",

booktitle = "Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings",

edition = "PART 2",

note = "19th International Conference on Neural Information Processing, ICONIP 2012 ; Conference date: 12-11-2012 Through 15-11-2012",

}

Alalshekmubarak, A, Hussain, A & Wang, QF 2012, Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. in Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7664 LNCS, pp. 85-91, 19th International Conference on Neural Information Processing, ICONIP 2012, Doha, Qatar, 12/11/12. https://doi.org/10.1007/978-3-642-34481-7_11

Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. / Alalshekmubarak, Abdulrahman; Hussain, Amir; Wang, Qiu Feng.
Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 2. ed. 2012. p. 85-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7664 LNCS, No. PART 2).

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

TY - GEN

T1 - Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel

AU - Alalshekmubarak, Abdulrahman

AU - Hussain, Amir

AU - Wang, Qiu Feng

PY - 2012

Y1 - 2012

N2 - Handwriting recognition is a complicated process that many applications rely on, such as mail sorting, cheque processing, digitalisation and translation. The recognition of handwritten Arabic is still an ongoing challenge mainly due to the similarity among its letters and the variety of writing styles. In this paper, a novel approach is proposed that uses support vector machines (SVMs) with normalized poly kernel. The well-known Arabic handwritten database, IFN/ENIT-database, which contains 936 city names with more than 32,492 instances, is used to test the proposed system. The results of this novel approach are compared with the results of two different studies. The comparison shows that a higher accuracy rate is obtained using the proposed system.

AB - Handwriting recognition is a complicated process that many applications rely on, such as mail sorting, cheque processing, digitalisation and translation. The recognition of handwritten Arabic is still an ongoing challenge mainly due to the similarity among its letters and the variety of writing styles. In this paper, a novel approach is proposed that uses support vector machines (SVMs) with normalized poly kernel. The well-known Arabic handwritten database, IFN/ENIT-database, which contains 936 city names with more than 32,492 instances, is used to test the proposed system. The results of this novel approach are compared with the results of two different studies. The comparison shows that a higher accuracy rate is obtained using the proposed system.

KW - Feature extraction

KW - Normalized poly kernel

KW - Offline word recognition

KW - SVM

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DO - 10.1007/978-3-642-34481-7_11

M3 - Conference Proceeding

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings

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Alalshekmubarak A, Hussain A, Wang QF. Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel. In Neural Information Processing - 19th International Conference, ICONIP 2012, Proceedings. PART 2 ed. 2012. p. 85-91. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-34481-7_11

Off-line handwritten Arabic word recognition using SVMs with normalized poly kernel

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Keywords

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