Character modification is an important step in the preprocessing of optical char acter recognition (OCR) system,which determines the OCR performance.Classic augmented Lagrangian multiplier (ALM) method is still insufficient to solve low rank character image.For the lack of convergence and computation rate of traditional augmented Lagrangian multiplier method,thi s paper proposes a new parallel splitting augmented Lagrangian multiplier method (PSALM),which combine s the parallel separation method with the ALM algorithm.The optimal solution of the original problem can b e attained using three iterated sub problems.Experimental results show that parallel splitting ALM can correct the distorted character image efficiently and accurately and has sufficient adaptability and real-time abilit y,which can be used for the preprocessing of OCR system to improve OCR performan ce.