Abstract
Increasing the number of vehicles, especially cars, raises some quite complicated problems. One of them is parking availability. Searching for empty parking slots is often be problematic related to time efficiency issues. In this paper, we proposed the detection of parking slots using GLCM and similarity measure. There are four main step that using in this paper. The first step is getROI, then feature extraction using GLCM method. For the classification step, similarity measure with Euclidean distance is used and the last step we calculate the accuracy. Detection of parking slots using gray level co-occurrence matrices and similarity measure is pretty good, marked by an average accuracy rate that is above 95% in all three datasets with different weather.
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