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Proceedings Paper

Robust Adaptive Thresholder For Document Scanning Applications
Author(s): To R. Hsing
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Paper 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.

Paper Details

Date Published: 28 December 1982
PDF: 5 pages
Proc. SPIE 0341, Real-Time Signal Processing V, (28 December 1982); doi: 10.1117/12.933700
Show Author Affiliations
To R. Hsing, GTE Laboratories Incorporated (United States)


Published in SPIE Proceedings Vol. 0341:
Real-Time Signal Processing V
Joel Trimble, Editor(s)

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