Complexity study of the Gamma correction method for text extraction from complex images

Abstract

In this paper, we present a complexity study of the Gamma correction method for automatic text extraction from complex images. This study is based on the build of a simple and adequate algorithm for future hardware solution. Then, a profiling study for each function of the proposed solution was done. After validation, using C/C++ environment, a comparison with the OpenCV based algorithm developed by ESIEE Paris was performed. We show a clear improvement in the run time. Profiling and experimental results, using diverse images prove that our study achieves an excellent balance between simplicity, precision, and computational speed. This study will be operated in the future work of hardware implementation.