%0 Journal Article %A András Barta and István Vajk %D 2007 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 11, 2007 %T Integrating Low and High Level Object Recognition Steps %U https://publications.waset.org/pdf/4603 %V 11 %X In pattern recognition applications the low level segmentation and the high level object recognition are generally considered as two separate steps. The paper presents a method that bridges the gap between the low and the high level object recognition. It is based on a Bayesian network representation and network propagation algorithm. At the low level it uses hierarchical structure of quadratic spline wavelet image bases. The method is demonstrated for a simple circuit diagram component identification problem. %P 3681 - 3686