Handwriting Analysis for Disease Identification

Authors

  • Asra S Dept. of Computer Science and Engineering, AIET, Kalaburagi, Affiliated to VTU, Belgaum, India
  • Shubhangi DC Dept. of Post Graduate Studies in Computer Science & Engineering, VTU RRC, Kalaburagi, India

DOI:

https://doi.org/10.26438/ijcse/v6i9.251254

Keywords:

Behavior Recognition, Segmentation, SVM Classifier, Drop Fall Algorithm, Zernike Moments

Abstract

Handwriting is a tool to understand partially the unknown world of subconscious mind. The motor nerves come into play while writing. Personality trait identification can be done successfully with accuracy through handwriting. A research is done to show new avenues of application of handwriting analysis. Diseases like strokes, Alzheimer’s disease, Parkinson, Dyslexic disorders can be very easily diagnosed well in advance before the onset of the disease. A novel work is carried out to enlighten that, hand writing analysis not only identifies a person’s characteristic traits but also identifies many diseases including brain disorders like Alzheimer’s disease, suicidal tendency and pessimism etc.

References

Syeda Asra, Dr.Shubhangi DC, “Personality Trait Identification – A Survey”, International Journal of Computer Science (IJCSN) , Vol 3, Issue 2 , pp.2277-5420, 2014.

SyedaAsra, Dr.Shubhangi D.C ,”Personality Trait Identification Using Unconstrained Cursive and Mood Invariant Handwritten Text”I.J. Education and Management Engineering, 2015, 5, 20-31 Published Online October 2015 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijeme.2015.05.03

Syeda Asra, Dr.Shubhangi DC ,” Specific Trait Identification in Margins Using Hand Written Cursive”, International Journal Of Engineering And Computer Science (IJECS) ISSN: 2319-7242, Volume 6 Issue 1 Jan. 2017, Page No. 19963-19964 Index Copernicus Value (2015): 58.10, DOI: 10.18535/ijecs/v6i1.19.

Syeda Asra, Dr.Shubhangi D.C,” Human Behavior Recognition based on Hand Written Cursives by SVM Class/ifier, ”, in ICEECCOT Mysuru,2017.

Syeda Asra, Dr.Shubhangi D.C,”Behaviour Recognition Based on Hand Written T-Letter Using SVM Classifier “ International Journal of Computer Science (IAENG) Scopus Indexed

Jinyin Yang et.al.” A Novel Drop-fall Algorithm Based on Digital Features for Touching Digit Segmentation” IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON),2016.

Tomoki Watanabe, Satoshi Ito, and Kentaro Yokoi,“ Co-occurrence Histograms of Oriented Gradients for Pedestrian Detection”, Springer-Verlag Berlin Heidelberg 2009.

Michael Vorobyov Notes on, Topic: “Shape Classification Using Zernike Moments”, iCamp at University of California Irvine August 5, 2016.

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Published

2018-09-30
CITATION
DOI: 10.26438/ijcse/v6i9.251254
Published: 2018-09-30

How to Cite

[1]
S. Asra and D. Shubhangi, “Handwriting Analysis for Disease Identification”, Int. J. Comp. Sci. Eng., vol. 6, no. 9, pp. 251–254, Sep. 2018.

Issue

Vol. 6 No. 9 (2018): IJCSE September Editor

Section

Research Article

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