Most of the document binarization techniques have many parameters that can initially be specified. Usually, subjective document binarization evaluation, employs human observes for the estimation of the best parameter values of the techniques. Thus, the selection of the best values for these parameters is crucial for the final binarization result. However, there is not any set of parameters that...

The robustness of a fingerprint authentication system depend on the quality of the binarized fingerprint image. Since the uniqueness of a fingerprint image is determined by the minutiae points which are extracted from a binarized fingerprint image. A very robust binarization process is therefore essential to get the correct set of minutiae points. Thresholding is an effective tool for binarizat...

This paper presents a novel binarization algorithm for color document images. Conventional thresholding methods do not produce satisfactory binarization results for documents with close or mixed foreground colors and background colors. Initially, statistical image features are extracted from the luminance distribution. Then, a decision-tree based binarization method is proposed, which selects v...

This paper investigates the feasibility of watermark embedding in the discrete cosine transform (DCT) domain for binary images. Watermark embedding is known difficult for binary images due to their binary nature. For frequency domain approach to binary image watermarking, a post-embedding binarization is a necessary step to ensure that the watermarked image is still a binary image. This step di...

Documents Image Binarization is performed in the preprocessing stage for document analysis and it aims to segment the foreground text from the document background. A fast and accurate document image binarization technique is important for the ensuing document image processing tasks such as optical character recognition (OCR). Though document image binarization has been studied for many years, t...

A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type-related degradations are addressed. Two new algorithms are applied to determine a local threshold for each pixel. The performance evaluation of the algorithm utilize...

This paper presents a novel image binarization method that can deal with degradations such as shadows, nonuniform illumination, low-contrast, large signal-dependent noise, smear and strain. A pre-processing procedure based on morphological operations is first applied to suppress light/dark structures connected to image border. A novel binarization concept based on difference of gamma functions ...

In this paper, we propose a novel methodology for text detection in natural scene images. The proposed methodology is based on an efficient binarization and enhancement technique followed by a suitable connected component analysis procedure. Image binarization successfully processes natural scene images having shadows, non-uniform illumination, low contrast and large signaldependent noise. Conn...