Handwriting Recognition by Machine Learning
Anandika Sharma1, Anupam Sharma2
1Anandika Sharma, Department of Humanities and Social Sciences Thapar Institute of Engineering and Technology Patiala, Punjab, India.
2Dr. Anupam Sharma, Department of Humanities and Social Sciences Thapar Institute of Engineering and Technology Patiala, Punjab, India.
Manuscript received on 10 July 2019 | Revised Manuscript received on 22 July 2019 | Manuscript Published on 23 August 2019 | PP: 1517-1520 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I33160789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3316.0789S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Handwriting is one of the most natural ways of communication among people. The handwriting recognition task is the main concern of scientific community because handwriting can be varies with the same person or from one person to another hence the prediction of human behavior through handwriting is a complex task. Earlier the handwriting analysis has been done by graphologists but due to the modernization and the arrival of digital world the handwriting analysis can be done with the help of computer aided machines. Different software and algorithms has been defined to do the analysis. In the new world of machine learning handwriting recognition and the prediction of human behavior can be done by using different techniques of machine learning which increase the speed of analysis This paper studies the recent advances and the trends in the field of handwriting recognition by machine learning
Keywords: Handwriting, Graphologist, Machine learning.
Scope of the Article: Machine Learning