文章基本信息

标题：HABIT: Handwritten Analysis based Individualistic Traits Prediction
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作者：Dr. Abdul Rahiman ; Miss Diana Varghese ; Dr. Manoj Kumar G 等
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2013
卷号：7
期号：2
页码：209-218
出版社：Computer Science Journals
摘要：Handwriting Analysis is a scientific method of identifying, evaluating and understanding an individual's personality based on handwriting. Each personality trait of a person is represented by a neurological brain pattern. Each of these neurological brain patterns produces a unique neuromuscular movement that is the same for every person who has that particular personality trait. When writing, these tiny movements occur unconsciously. Strokes, patterns and pressure applied while writing can reveal specific personality traits. The true personality including emotional outlay, fears, honesty and defenses are revealed. Professional handwriting examiners called graphologists analyze handwriting samples for this purpose. However, accuracy of the analysis depends on how skilled the analyst is. The analyst is also prone to fatigue. High cost incurred is yet another deterrent. This paper aims at implementing an off-line, writer-independent handwriting analysis system "HABIT" (Handwriting Analysis Based Individualistic Traits Prediction) which acts as a tool to predict the personality traits of a writer automatically from features extracted from a scanned image of the writer's handwriting sample given as input. The features include slant of baseline, pen pressure, slant of letters and size of writing. The implementation uses Java and Eclipse-Indigo as tools.
关键词：Handwriting Analysis; Feature Extraction; Patterns.