Title :
Image quality and readability
Author :
Govindaraju, Venu ; Srihari, Sargur N.
Author_Institution :
Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA
Abstract :
Determining the readability of documents is an important task. Human readability pertains to the scenario when a document image is ultimately presented to a human to read. Machine readability pertains to the scenario when the document is subjected to an OCR process. In either case, poor image quality might render a document unreadable. A document image which is human readable is often not machine readable. It is often advisable to filter out documents of poor image quality before sending them to either machine or human for reading. This paper is about the design of such a filter. We describe various factors which affect document image quality and the accuracy of predicting the extent of human and machine readability possible using metrics based on document image quality
Keywords :
document image processing; image processing; optical character recognition; OCR process; document image; document image quality; documents readability; human readability; image readability; machine readability; Accuracy; Art; Automation; Filters; Humans; Image quality; Image recognition; Optical character recognition software; Text analysis; Venus;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.538547