• K.Valli Madhavi
• R Tamilkodi
• Neha Nair

Handwriting is often called mind indicting or encephalon inscribing. All that is a component of the mind is reflected by an individual in many ways, inscribing being one. Handwriting reveals the true personality including emotional outlay, fears, veracity, bulwarks and many others. Data such as the dynamically captured direction, stroke, distance, size, pressure and shape of an individual’s handwriting enable to be a reliable designator of an individual’s identity. This paper exposes the reduction of juvenile malefaction by analyzing the handwriting. The objective of this paper is to discuss methodology to prognosticate the demeanor of a person from the baseline and suggest him/her for desideratum of counseling. The digital handwritings accumulated are processed utilizing segmentation and trained utilizing back propagation algorithm and conclusively machine learning algorithm Decision Tree i.e. Classification and Regression Tree(CART) is applied to presage the desideratum of counseling to reduce the juvenile crime.

Handwriting, juvenile crime, segmentation, back propagation, machine learning, counseling, Decision Tree, Classification, Regression

"Handwriting analysis for reduction of Juvenile Crime using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.228-233, June 2019, Available :http://www.jetir.org/papers/JETIR1907E33.pdf

"Handwriting analysis for reduction of Juvenile Crime using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp228-233, June 2019, Available at : http://www.jetir.org/papers/JETIR1907E33.pdf