Parallel Processing Based on Fragmentation of English Text Pictures to Speed Up Recognition of Characters on a Multi-Core Computer

Abstract

Script picture analyses use algorithms to turn images of text into readable computer data. The goal of script picture analyses is pattern recognition of script and graphics combinations from images for extraction of the data. This paper solves a long-existing problem in pattern recognition in script images regarding recognition of characters and words using a computer processor. The proposed system rely on main steps of execute, first step: is load English script of image file, second step: is partition image file to several image pages, third step: is divide the image into number of blocks, and final step: multi-block method can be used in each row of the script image with parallel processing using a multi-core computer (one processor P1, two processors P2, three processors P3, and four processors P4) with rapid processing for script images for pattern recognition. The outcome obtained with a multi-core computer is very fast for processing script images and is efficient and accurate. It can use the modified algorithm in multi-processor system that available now and not used all the capacity in processing in one processor as in old computers.