Parallel genetic algorithm for document image compression optimization
V Aysha, Kannan Balakrishnan, S Babu Sundar · 2010
This work proposes a parallel genetic algorithm for compressing scanned document images. A fitness function is designed with Hausdorff distance which determines the terminating condition. The algorithm helps to locate the text lines. A greater compression ratio has achieved with lesser distortion.