Character rectification method based on augmented Lagrange multiplier using parallel splitting
Ji Ma · Journal of Optoelectronics·laser · 2015
Character modification is an important step in the preprocessing of optical character 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,this paper proposes a new parallel splitting augmented Lagrangian multiplier method(PSALM),which combines the parallel separation method with the ALM algorithm.The optimal solution of the original problem can be 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 ability,which can be used for the preprocessing of OCR system to improve OCR performance.