A lightning identification system that can realize frame-frame background removal algorithm is designed to accomplish the lightning identification and coding in real-time on a meteorological satellite. This system divides the high-speed image captured by a lightning imaging sensor into eight regions, and the lightning detection of each region is completed by an identical subsystem respectively. Each subsystem uses seven Static Random Access Memories(SRAMs) to read and write data in the pipelined architecture to implement the background evaluation and realize frame-frame background removal algorithm. Experimental results show that this system can receive high-speed data flow up to 2.88 Gbps, realize background signal evaluation and removal, and identify lightning events in real-time. These results show this system is able to identify the lightning on meteorology satellites.