Optical Character Recognition of Off-Line Typed and Handwritten English Text Using Morphological and Template Matching Techniques

Olakanmi Olufemi Oladayo


The existence of several documents in historical archives which need to be edited and stored in a computer has been one of the drives of Optical Character Reader (OCR) research. Earlier scanner has been used to achieve this tedious task however scanner only produces picture images of the documents.This makes the documents unreadable and un-editable through other word processing applications.This paper proposed an OCR system which converts off line typed and handwritten texts into their editable textual representations.The morphological correlation technique improves the mapping and recognition efficiency of the OCR system.


Handwritten English Text, Morphological, Off-Line Typed, Optical Character, Recognition, Template Matching Techniques

Full Text:


DOI: http://doi.org/10.11591/ijai.v3.i3.pp121-128


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

IAES International Journal of Artificial Intelligence (IJ-AI)
ISSN/e-ISSN 2089-4872/2252-8938 
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

View IJAI Stats