: This paper presents an overview over parallel architectures for the efficient realisation of digital libraries by considering image databases as an example. The state of the art approach for image retrieval uses a priori extracted features and limits the applicability of the retrieval techniques, as a detail search for objects and for other important elements can't be performed. Well-suited algorithms for dynamic feature extraction and comparison are not often applied, as they require huge computational and memory resources. Integration of parallel methods and architectures enables the use of these alternative approaches for improved classification and retrieval of documents in digital libraries. Therefore implemented prototypes on a symmetric multiprocessor (SMP) and on cluster architecture are introduced in the paper. Performance measurements with a wavelet-based template matching method resulted into a reasonable speedup.