Complex equipment statement identification based-on image recognition is important for real-time interpretation of equipment statement, timely intervention equipment faults and improving equipment support capability. According to the characteristics of large quantity of component, complex process, the paper designs a technical complex equipment identification architecture based on image recognition. The technical architecture includes: image edge judgment, image segmentation, statement identification. The testing of equipment statement identification with OpenCV tools demonstrated that the proposed technical architecture is feasible and correct.