A Simple Systematic Approach to Mood Invariant Handwriting Analysis Using SVM Classifier
Abstract
Handwriting is actually brain writing. The subconscious mind comes into play, which reveals the traits .A systematic approach is proposed towards understanding the Human behaviors through handwriting. The feature vector is built by considering the distance between words, orientation and alignment of the words right or left. The data set was developed using 200 samples from people belonging to different works of life. This system developed is mood invariant since the samples were collected by different people at different point of time and unconstrained hand writing analysis. The handwriting of 100 adults was submitted for graphological analysis. The graphologist's answers to questions on the person’s personality, her description of his character and her assessment of his inclination towards past ,present and current were checked by the person’s own answers to the questionnaire, by the personality descriptions in the case-sheets, and by the results of the Progressive Matrices Test . Further SVM classifier was used. The results were checked and compared with graphologist. The result as high as 95%were obtained.
References
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