This paper focuses on license plate recognition in intelligent parking management systems. It reviews its application status in vehicle access and fee collection

and points out that complex environments

license plate diversity

and system conditions can cause recognition instability. To address this

reliability enhancement approaches are proposed

including algorithm and hardware optimization against environmental interference

accuracy improvement for license plate diversity

and optimization of system architecture and deployment. Through experimental design and comparative analysis

the effectiveness of the methods is verified

and the results show that the proposed approach improves recognition stability and application value in diverse parking scenarios.