Date of Publication :20th March 2017
Abstract: In various fields, there is an appeal for putting away data to a PC stockpiling plate from the information accessible in printed or transcribed records or pictures to later re-use this data by methods for PCs. One straightforward approach to store data to a PC model from these printed records could be first to examine the archives and afterward store them as picture documents. However, to re-use this data, it would exceptionally hard to peruse or inquiry content or other data from these picture records. In this way a procedure to naturally recover and store data, specifically message, from picture records is required. Optical character acknowledgment is a dynamic research territory that endeavours to build up a PC model with the capacity to concentrate and process content from pictures consequently. The target of OCR is to accomplish change or transformation of any type of content or content containing records, for example, transcribed content, printed or filtered content pictures, into an editable advanced arrangement for more profound and further preparing. Along these lines, OCR empowers a machine to consequently perceive message in such reports. Some significant provokes should be perceived and dealt with so as to accomplish a fruitful computerization. The textual style attributes of the characters in paper reports and nature of pictures are just a portion of the ongoing challenges. Because of these difficulties, characters here and there may not be perceived effectively by PC model. In this paper OCR in four distinct manners are researched to give a review of the difficulties that may rise in OCR stages.
Reference :
-
- H. Modi and M. C., “A Review on Optical Character Recognition Techniques,” Int. J. Comput. Appl., 2017, doi: 10.5120/ijca2017913061.
- J. W. Gooch, “Optical Character Recognition Inks,” in Encyclopedic Dictionary of Polymers, 2011, pp. 504–504.
- A. Al-Marakeby, F. Kimura, M. Zaki, and A. Rashid, “Design of an embedded arabic optical character recognition,” J. Signal Process. Syst., vol. 70, no. 3, pp. 249–258, 2013, doi: 10.1007/s11265-012-0662-x.
- S. M. Velaga, S. S. Gantayt, and B. A. Kumar, “A prototype device to extract text from images, videos and document files to assist visually impaired people,” J. Comput. Theor. Nanosci., 2018, doi: 10.1166/jctn.2018.7577
- A. AbdelRaouf, C. A. Higgins, T. Pridmore, and M. I. Khalil, “Arabic character recognition using a Haar cascade classifier approach (HCC),” Pattern Anal. Appl., 2016, doi: 10.1007/s10044-015-0466-2.
- K. Hamad and M. Kaya, “A Detailed Analysis of Optical Character Recognition Technology,” Int. J. Appl. Math. Electron. Comput., 2016, doi: 10.18100/ijamec.270374.
- I. Taleb, R. Dssouli, and M. A. Serhani, “Big Data Pre-processing: A Quality Framework,” 2015, doi: 10.1109/BigDataCongress.2015.35.
- K. Bagdasarian et al., “Pre-neuronal morphological processing of object location by individual whiskers,” Nat. Neurosci., 2013, doi: 10.1038/nn.3378.
- A. Chaudhuri, K. Mandaviya, P. Badelia, and S. K. Ghosh, “Optical character recognition systems,” in Studies in Fuzziness and Soft Computing, 2017.
- Y. C. Yabansu, P. Steinmetz, J. Hötzer, S. R. Kalidindi, and B. Nestler, “Extraction of reduced-order process-structure linkages from phase-field simulations,” Acta Mater., 2017, doi: 10.1016/j.actamat.2016.10.071.
- M. K. Sahu and N. K. Dewangan, “Handwritten Character Recognition using Neural Network,” IJARCCE, 2017, doi: 10.17148/ijarcce.2017.6603.
- Ashutosh Gupta, Bhoopesh Bhati and Vishal Jain, "Artificial Intrusion Detection Techniques: A Survey", International Journal of Computer Network and Information Security (IJCNIS), Hongkong, Vol. 6, No. 9, September 2014, having ISSN No. 2074-9104.
- Khaleel Ahmad, Muneera Fathima, Vishal Jain, Afrah Fathima, “FUZZY-Prophet: A Novel Routing Protocol for Opportunistic Network”, International Journal of Information Technology (BJIT), Vol. 9 No. 2, Issue 18, June, 2017, page no. 121-127 having ISSN No. 2511-2104.
- P. Lavanya, R. Meena, R. Vijayalakshmi, Prof. M. Sowmiya, Prof. S. Balamurugan , “ A Novel Object Oriented Perspective Design for Automated BookBank Management System”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Issue 2, February 2015. P.Andrew , J.Anishkumar , Prof.S.Balamurugan , S.Charanyaa, “ A Survey on Strategies Developed for ining Functional Dependencies”, International Journal of Innovative Research in Computer and Communication Engineering, Vol.3, Issue 2, February 2015.
- SV Amridh Varshini, R Kaarthi, N Monica, M Sowmiya, S Balamurugan, “Entity Relationship Modeling of Automated Passport Management System”, International Journal of Innovative Research in ScienceEngineering and Technology , Vol. 4, Issue 2, February 2015