Improving Independence in Money Recognition for Blind Brazilians

This paper aims to propose of an assistive technology taking advantage of using the traditional technique Template Matching combined with color recognition in the domain of HSV color space through of the development of a mobile application to recognition Brazilian banknotes provided by the segmentation of security items named Puzzles that belong to the Second Series of Real. The predominant hue, as the Puzzles, is another one of a several security items of the Second Series of Real and it is possible to classify both verses of the seven types of Brazilian banknotes using this feature. Template Matching is used to turn viable the predictions by the predominant hue extracted from homogeneous, standardized and unique location and at the same time the predominant hue is used to confirm predictions of the Template Matching. Both techniques are available in the OpenCV library which allows the viability of a prospectus to build a smartphone application which can promote the improving independence of visual impaired people in their monetary exchanges dealing with the Second Series of Real banknotes.