TY - GEN
T1 - Hybrid OCR techniques for cursive script languages - A review and applications
AU - Beg, Azam
AU - Ahmed, Faheem
AU - Campbell, Piers
PY - 2010
Y1 - 2010
N2 - Software-based Arabic optical character recognition (OCR) has been used quite successfully for many years. However, the hardware-based implementations of the OCR - which can be 10-100 times faster than the software-only method - seem to not have been fully exploited. This paper briefly reviews the research material addressing software based OCR but focuses more on the hardware realization of Arabic OCR. The software-only OCR methods have achieved reasonable maturity but require use of PCs (or similar platforms), which is an obvious hindrance for OCR implementations in small form factor, such as pens or mobile devices. Different researchers have addressed individual, sub-tasks of Arabic (non-Latin) OCR, but not as complete, functional systems. The recognition accuracies also have significant room of improvement. The main challenge for practically functioning OCR systems in smaller sizes is the optimization of software algorithms so they can be efficiently and cost-effectively realized in hardware.
AB - Software-based Arabic optical character recognition (OCR) has been used quite successfully for many years. However, the hardware-based implementations of the OCR - which can be 10-100 times faster than the software-only method - seem to not have been fully exploited. This paper briefly reviews the research material addressing software based OCR but focuses more on the hardware realization of Arabic OCR. The software-only OCR methods have achieved reasonable maturity but require use of PCs (or similar platforms), which is an obvious hindrance for OCR implementations in small form factor, such as pens or mobile devices. Different researchers have addressed individual, sub-tasks of Arabic (non-Latin) OCR, but not as complete, functional systems. The recognition accuracies also have significant room of improvement. The main challenge for practically functioning OCR systems in smaller sizes is the optimization of software algorithms so they can be efficiently and cost-effectively realized in hardware.
KW - Arabic OCR
KW - Farsi/Persian OCR
KW - HDL models
KW - Hand-writing recognition
KW - Hardware implementation
KW - Optical character recognition (OCR)
KW - Text recognition
KW - Urdu OCR
UR - http://www.scopus.com/inward/record.url?scp=78649812373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78649812373&partnerID=8YFLogxK
U2 - 10.1109/CICSyN.2010.36
DO - 10.1109/CICSyN.2010.36
M3 - Conference contribution
AN - SCOPUS:78649812373
SN - 9780769541587
T3 - Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
SP - 101
EP - 105
BT - Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
T2 - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Y2 - 28 July 2010 through 30 July 2010
ER -