Extended fingerprint features such as pores, dots and incipient ridges have been increasingly attracting attention from researchers and engineers working on automatic fingerprint recognition systems. A variety of methods have been proposed to combine these features with the traditional minutiae features. This paper comparatively analyses the parallel and hierarchical fusion approaches on a high resolution fingerprint image dataset. Based on the results, a novel and more effective hierarchical approach is presented for combining minutiae, pores, dots and incipient ridges.