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DBAHCL: database for Arabic handwritten characters and ligatures

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International Journal of Multimedia Information Retrieval Aims and scope Submit manuscript

Abstract

Unlike Latin, the recognition of Arabic handwritten characters remains at the level of research and experimentation. In fact, it has an undeniable interest in carrying out tasks that may be tedious in certain areas, namely the automatic processing of Arab administrative records, the digitization and safeguarding of the written Arab cultural heritage, and so on. The availability of a database makes it possible to compare objectively the results of the different systems developed in this field. Indeed, the recognition of Arabic handwriting characters still catches the absence of a reference database of Arabic handwritten characters covering all forms of Arabic characters and all possible ligatures of the characters. This article introduces a new database for Arabic handwritten characters and ligatures. This database is designed to cover all forms of Arabic characters, including ligatures. It contains 9900 ligatures and 5500 characters written by 50 writers.

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References

  1. El Abed H, Märgner V (2003) Database competitions—tools for the development and evaluation of manuscript word recognition systems. 27(2):237–263 (2003). Base de Données et Compétitions—Outils de Développement et d’Évaluation de Systèmes de Reconnaissance de Mots Manuscrits

  2. Ahmed R, Al-Khatib WG, Mahmoud S (2016) A survey on handwritten documents word spotting. Int J Multimed Info Retr. doi:10.1007/s13735-016-0110-y

    Google Scholar 

  3. Lorigo LM, Govindaraju V (2006) Offline arabic handwriting recognition: a survey. IEEE Trans Pattern Anal Mach Intell 28(5):712–724

    Article  Google Scholar 

  4. Pechwitz M, Snoussi Maddouri V, Märgner V, Ellouze N, Amiri H (2002) IFN/ENIT database of handwritten Arabic words. CIFED’02. 129–136

  5. Lawgali A, Angelova M, Bouridane A (2013) HACDB: handwritten Arabic characters database for automatic character recognition. In: 4th European workshop visual information processing (EUVIP), 2013. pp 255–259

  6. Kamel M (2010) Recognition of forms applied to handwritten Arabic writing by multiclassifiers, PhD thesis. Reconnaissance de formes appliquée à l’écriture arabe manuscrite par des multiclassifieurs

  7. Kharma N, Ahmed M, Ward M (1999) A new comprehensive database of handwritten Arabic words, numbers, and signatures used for ocr testing. Electr Comput Eng 2:766–768

    Google Scholar 

  8. Al-Ma’adeed S, Elliman D, Higgins CA (2002) A data base for Arabic handwritten text recognition research. In: Proceedings eighth international workshop on frontiers in handwriting recognition, pp 485–489

  9. AI-Ma’adeed S, Elliman D, Higgins CA (2004) A data base for Arabic handwritten text recognition research. Int Arab J Inf Technol 1(1):117–121

    Google Scholar 

  10. Al-Ohali Y (2002) Handwritten word recognition—application to Arabic cheque processing, PhD thesis. Montreal, Quebec

  11. Abdleazeem S, El-Sherif E (2008) Arabic handwritten digit recognition. Int J Doc Anal Recognit (IJDAR) 11(3):127–141

    Article  Google Scholar 

  12. Asiri A, Khorsheed MS (2005) Automatic processing of handwritten Arabic forms using neural networks. In: Proceedings of world academy of science, engineering and technology. pp 147–151

  13. Srihari SN, Ball GR, Srinivasan H (2008) Versatile search of scanned Arabic handwriting. In: Doermann D, Jaeger S (eds) Arabic and Chinese handwriting recognition. Springer, Berlin, Heidelberg, pp 57–69

  14. Lamghari N, Charaf MEH, Raghay S (2016) Template matching for recognition of handwritten Arabic characters using structural characteristics and Freeman code. Int J Comput Sci Inf Secur 14(12):31–40

    Google Scholar 

Download references

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Authors and Affiliations

  1. FSTG, LAMAI/Cadi Ayyad University, Marrakesh, Morocco

    Nidal Lamghari & Said Raghay

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  1. Nidal Lamghari
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  2. Said Raghay
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Correspondence to Nidal Lamghari.

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Lamghari, N., Raghay, S. DBAHCL: database for Arabic handwritten characters and ligatures. Int J Multimed Info Retr 6, 263–269 (2017). https://doi.org/10.1007/s13735-017-0127-x

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  • DOI: https://doi.org/10.1007/s13735-017-0127-x

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