ID Card Recognition Based on ArabicOCR System | ||||
| The Egyptian Journal of Language Engineering | ||||
| Article 4, Volume 1, Issue 2, September 2014, Page 35-49 PDF (1.24 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ejle.2014.59924 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Amira Shaaban  1; Ashraf Hussein1; Esraa Shokry1; Olaa Alaa-Eldin1; Mohsen Rashwan1; Hassanin Barhamtoshy2
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| 1Electronics and Communication Department, Faculty of Engineering, Cairo University | ||||
| 2Faculty of Computing & Information Technology, King Abdulaziz University Jeddah, Saudi Arabia | ||||
| Abstract | ||||
| Optical character recognition of Arabic language is a field of research that is socially very relevant and challenging. The social relevance lies on the fact that OCR is very important for many applications that need character recognition of images. Our system is Egyptian ID cards reader system which extracts important data from the ID card image, recognizes data and translates it into editable text on computer so it can be edited and saved. Then, the system can compare between a tested ID card and the database saved before. This paper extensively reviews the base line-based segmentation and DCT based feature extractor approaches used for building this special Arabic OCR system. It also reports the experimental results obtained so far showing the reliability of our system. Finally, we’ll show thatthe system works fast on the scientific Matlab library, as it needs about 16 seconds in average to process one ID card, and the system is expected to do better performance when transferring it from the academic phase to the product phase. | ||||
| Keywords | ||||
| Arabic OCR; Card Identification; Information Retrieval; Classifiers Fusion | ||||
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