Perekayasaan Histogram Orientasi Kecerunan Mengesan Erotan dan Pencongan Manuskrip Merong Mahawangsa

Optic Text Recognition (PTO) is popular and has been extended to Jawi (Arabic character) text. The research is focused on the determination of the degree of skew and slant in Jawi text. There are a variety of methods to determine the degree of skew and slant in Jawi text like the Smallest Square (KDT) and Gradient Orientation Histogram (HOC). The reengineered method is the HOC pioneered by Sun and Si to detect the skew and slant of Latin alphabet. This technique is also popular among Jawi researchers to detect the skew mid slant of Jawi writing. However, the efficiency of the degree determination need to be investigated and enhanced with a reengineered algorithm so that it is suitable with the efficiency and accuracy of the determination degree. The reengineering of the present HOC algorithm may contribute to the accuracy in the skew and slant detection of Jawi writing.Tests are conducted to compare the original HOC and the enhanced HOC,as well as the KDT algorithm.