An Optimization Algorithm for VMI Test Evaluation

VMI (Visual-Motor Integration) is a psychometric test that is being used by mental health specialists to determine more precise clinical examination through the ability in handwriting and copying accuracy. According to the literature, psychometric tests are categorized as objectively or subjectively scored. For that reason, the proposed work increases the accuracy of VMI results by eliminating possible errors of any subjective human evaluation. So, an optimization algorithm is developed for analyzing high-resolution digital images of VMI sheets. The algorithm simulates Braille method, which is used by visually impaired people to decrease processing data by utilizing three different fingerprint patterns and locate the required ROIs (Regions of Interest). Finally, a comparison procedure indicates possible differences between the pre-drawn shape and the hand-drawing replica for computing two score values with respect to size and morphology.