Clip art databases can be composed by raster images or by vector drawings. There are technologies for searching and retrieving clip arts for both image formats but research has been done separately, focusing on either format, without taking benefits of both research fields as a whole. This paper describes a study where the benefits of combining information extracted from vector and raster images to retrieve clip arts are evaluated and discussed. Color and texture features are extracted from raster images and geometry and topology features are extracted from vector images. The paper presents several comparisons between different combinations with several descriptors. The results of the study show the effectiveness of the solutions that combines both types of features.