Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR
Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development of multilingual Arabic script OCR (Optical Character Recognition) and lexicon reduction for Arabic Script and its derivative languages. The ob...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Mehran University of Engineering and Technology
2016-04-01
|
| Series: | Mehran University Research Journal of Engineering and Technology |
| Subjects: | |
| Online Access: | http://publications.muet.edu.pk/research_papers/pdf/pdf1277.pdf |
| _version_ | 1811313538131558400 |
|---|---|
| author | Saeeda Naz Arif Iqbal Umar Muhammad Imran Razzak |
| author_facet | Saeeda Naz Arif Iqbal Umar Muhammad Imran Razzak |
| author_sort | Saeeda Naz |
| collection | DOAJ |
| description | Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development of multilingual Arabic script OCR (Optical Character Recognition) and lexicon reduction for Arabic Script and its derivative languages. The objective of the proposed method is to overcome the large dataset Urdu and similar scripts by using GCT (Ghost Character Theory) concept. Arabic and its sibling script languages share the similar character dataset i.e. the character set are difference in diacritic and writing styles like Naskh or Nasta?liq. Based on the proposed method, the lexicon for Arabic and Arabic script based languages can be minimized approximately up to 20 times. The proposed multilingual Arabic script OCR approach have been evaluated for online Arabic and its derivative language like Urdu using BPNN. The result showed that proposed method helps to not only the reduction of lexicon but also helps to develop the Multilanguage character recognition system for Arabic Script. |
| first_indexed | 2024-04-13T10:55:32Z |
| format | Article |
| id | doaj.art-4fb9088eddea441586f2dadb83d728d0 |
| institution | Directory Open Access Journal |
| issn | 0254-7821 2413-7219 |
| language | English |
| last_indexed | 2024-04-13T10:55:32Z |
| publishDate | 2016-04-01 |
| publisher | Mehran University of Engineering and Technology |
| record_format | Article |
| series | Mehran University Research Journal of Engineering and Technology |
| spelling | doaj.art-4fb9088eddea441586f2dadb83d728d02022-12-22T02:49:32ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192016-04-01352209216Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCRSaeeda Naz0Arif Iqbal Umar1Muhammad Imran Razzak2Department of Information Technology, Hazara University, Mansehra, KPK, and Government Post-Graduae Girls College No. 1, Higher Education Department, Abbottabad, KPK, PakistanDepartment of Information Technology, Hazara University, Mansehra, KPK, PakistanKing Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi ArabiaArabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development of multilingual Arabic script OCR (Optical Character Recognition) and lexicon reduction for Arabic Script and its derivative languages. The objective of the proposed method is to overcome the large dataset Urdu and similar scripts by using GCT (Ghost Character Theory) concept. Arabic and its sibling script languages share the similar character dataset i.e. the character set are difference in diacritic and writing styles like Naskh or Nasta?liq. Based on the proposed method, the lexicon for Arabic and Arabic script based languages can be minimized approximately up to 20 times. The proposed multilingual Arabic script OCR approach have been evaluated for online Arabic and its derivative language like Urdu using BPNN. The result showed that proposed method helps to not only the reduction of lexicon but also helps to develop the Multilanguage character recognition system for Arabic Script.http://publications.muet.edu.pk/research_papers/pdf/pdf1277.pdfUrdu Optical Character RecognitionMultilingual Optical Character RecognitionNaskhNasta’liqNasta’liq |
| spellingShingle | Saeeda Naz Arif Iqbal Umar Muhammad Imran Razzak Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR Mehran University Research Journal of Engineering and Technology Urdu Optical Character Recognition Multilingual Optical Character Recognition Naskh Nasta’liq Nasta’liq |
| title | Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR |
| title_full | Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR |
| title_fullStr | Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR |
| title_full_unstemmed | Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR |
| title_short | Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR |
| title_sort | lexicon reduction for urdu arabic script based character recognition a multilingual ocr |
| topic | Urdu Optical Character Recognition Multilingual Optical Character Recognition Naskh Nasta’liq Nasta’liq |
| url | http://publications.muet.edu.pk/research_papers/pdf/pdf1277.pdf |
| work_keys_str_mv | AT saeedanaz lexiconreductionforurduarabicscriptbasedcharacterrecognitionamultilingualocr AT arifiqbalumar lexiconreductionforurduarabicscriptbasedcharacterrecognitionamultilingualocr AT muhammadimranrazzak lexiconreductionforurduarabicscriptbasedcharacterrecognitionamultilingualocr |