An embedded seal imprint identifiction system based on high speed digital signal processor (DSP) and field-programmable gate array (FPGA) is designed and fabricated.In recognition algorithms of the system,spatial coordinates of centers and radius of tested seals are calculated with a method based on flatness convolution.The orientation between sample seal (SS) and model seal (MS) is calculated with the radius projection method,which calculates a group of one-dimensiond feature data instead of two-dimensiond.Improved Hausdorff distance is used to measure the similarity between seals,as seal quality being the control parameters.Artificial neural network is adopted in analyzing and estimation.In respect of hardware realization,System-on-a-programmable chip (SOPC) combining DSP serves as CPU of this verification system.Image preprocessor and controller are included in the SOPC system.As the master processor,DSP is applied to accomplish image feature detection and verification.General purpose interface (GPI) such as Ethernet interface,USB and RS232 is designed in the system.Experiment shows that seals can be effectively identified and the function of the small-size and low-cost verification system can be upgraded flexibly.