Robust Adaptive Thresholder For Document Scanning Applications

To R. Hsing

doi:10.1117/12.933700

28 December 1982 Robust Adaptive Thresholder For Document Scanning Applications

To R. Hsing

Proceedings Volume 0341, Real-Time Signal Processing V; (1982) https://doi.org/10.1117/12.933700
Event: 1982 Technical Symposium East, 1982, Arlington, United States

Abstract

In document scanning applications, thresholding is used to obtain binary data from a scanner. However, due to: (1) a wide range of different color backgrounds; (2) density variations of printed text information; and (3) the shading effect caused by the optical systems, the use of adaptive thresholding to enhance the useful information is highly desired. This paper describes a new robust adaptive thresholder for obtaining valid binary images. It is basically a memory type algorithm which can dynamically update the black and white reference level to optimize a local adaptive threshold function. The results of high image quality from different types of simulate test patterns can be obtained by this algorithm. The software algorithm is described and experiment results are present to describe the procedures. Results also show that the techniques described here can be used for real-time signal processing in the varied applications.

Citation Download Citation

To R. Hsing "Robust Adaptive Thresholder For Document Scanning Applications", Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); https://doi.org/10.1117/12.933700

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available