A　novel　method　for　fingerprint　singular　points　extraction　including　location　and　orientation　is　proposed　based　on　some　properties　of　the　orientation　field　models.　Singular　points　are　located　by　clustering　the　results　of　corner　detection.　Then,　through　examining　the　sub-block　orientation　fields　at　a　number　of　selected　positions　on　concentric　circles　centered　about　the　located　singular　point,　an　iterative　method　based　on　the　orientation　differences　is　proposed　to　compute　the　orientation　of　the　core　point.　Experimental　results　on　NIST4　and　FVC2002　four　databases　demonstrate　the　proposed　method　can　consistently　locate　singular　points　with　the　high　accuracy.　The　location　and　orientation　of　the　detected　singular　points　can　be　used　for　alignment　(translation　and　rotation)　parameters　in　fingerprint　matching.　©　2011　The　Journal　of　China　Universities　of　Posts　and　Telecommunications.