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.
Shaaban, A., Hussein, A., Shokry, E., Alaa-Eldin, O., Rashwan, M., & Barhamtoshy, H. (2014). ID Card Recognition Based on ArabicOCR System. The Egyptian Journal of Language Engineering, 1(2), 35-49. doi: 10.21608/ejle.2014.59924
MLA
Amira Shaaban; Ashraf Hussein; Esraa Shokry; Olaa Alaa-Eldin; Mohsen Rashwan; Hassanin Barhamtoshy. "ID Card Recognition Based on ArabicOCR System", The Egyptian Journal of Language Engineering, 1, 2, 2014, 35-49. doi: 10.21608/ejle.2014.59924
HARVARD
Shaaban, A., Hussein, A., Shokry, E., Alaa-Eldin, O., Rashwan, M., Barhamtoshy, H. (2014). 'ID Card Recognition Based on ArabicOCR System', The Egyptian Journal of Language Engineering, 1(2), pp. 35-49. doi: 10.21608/ejle.2014.59924
VANCOUVER
Shaaban, A., Hussein, A., Shokry, E., Alaa-Eldin, O., Rashwan, M., Barhamtoshy, H. ID Card Recognition Based on ArabicOCR System. The Egyptian Journal of Language Engineering, 2014; 1(2): 35-49. doi: 10.21608/ejle.2014.59924
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