STM Journals Peer-reviewed research from Consortium e-Learning Network

Recent Trends in Programming languages

Signature Based Human Behaviour Prediction

  1. Leeza Bajaj
  2. Priyanka Kamboj

Abstract

Earlier personality or behavior of a person was predicted by spending lot of time with the person. As we know, spending time with person is very difficult task. Concerning this problem, in the present study a method has been proposed for the behavioral prediction of a person through signature analysis. The prediction is done from four features which are alignment, thickness, shape and pen pressure as found in individual’s signature. These parameters are the input to the Artificial Neural Network (ANN) which outputs the personality trait of the writer and the performance evaluation is done by calculating mean square error using Back Propagation neural network (BPNN). Cite this ArticleLeeza Bajaj, Priyanka Kamboj. Signature Based Human Behaviour Prediction. Recent Trends in Programming languages. 2015; 2(2): 13–21p.

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