A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software

This paper describes a methodology for end-to-end evaluation of Arabic document image processing software. The methodology can be easily tailored to other languages, and to other document formats (e.g., audio and video). Real-world documents often involve complexities such as multiple languages, handwriting, logos, signatures, pictures, and noise introduced by document aging, reproduction, or exposure to environment factors. Information retrieval systems that implement algorithms to account for such factors are maturing. The proposed methodology is vital for measuring system performance and comparing relative merits.