This paper presents a novel approach for text line extraction which is based on Gaussian scale space, a dedicated binarization, and an energy minimization framework. It enhances the text lines in the image using multi-scale anisotropic second derivative of Gaussian filter bank at the average height of the text line. It then applies a binarization, which is based on component-tree and is tailore...

Abstract: Binarization is performed in the preprocessing stage for document inspection. Binarization of degraded document images improve the result from poor quality of the paper, the printing process, ink blot and fading document and remove noise from examine. In recent years, libraries have begun to digitize historical document that are of interest to a wide range of people, with the goal of ...

Fingerprint identification is the most prominent method of biometric identification. Here, fingerprint is a widely used form of biometric identification and is robust means of person identification. In this, a set of minutiae points were considered and which characterize the fingerprints by extracting minutiae points from fingerprint under uncontrolled situation and it is a robust binarization ...

With the development of two-dimension code in industrial manufacture, the use of Dotted Data Matrix code is becoming increasingly wider and deeper due to that it is easy to be marked on metal or glass surface. A method about processing the complexity and diversity of Dotted Data Matrix code is presented in this paper. First, the spot detection is used to get the size of data dot, then a self-ad...

Binarization techniques have been developed in the document analysis community for over 30 years and many algorithms have been used successfully. On the other hand, document analysis tasks are more and more frequently being applied to multimedia documents such as video sequences. Due to low resolution and lossy compression, the binarization of text included in the frames is a non trivial task. ...

Fingerprint identification and matching are the most important areas in digital image processing. Fingerprint identification is a prominent method of biometric identification. The quality of the fingerprint image is a significant one for a reliable matching process. The quality of the image can be enhanced at the preprocessing stage of image processing. In this paper we describe a fuzzy modelin...

The digital cleaning of dirty and old documents and the binarization into a black/white image can be a tedious process. It is usually done by experts. In this article a method is shown that is easy for the end user. Untrained persons are able to do this task now while before an expert was needed. The method uses interactive evolutionary computing to program image processing operations that act ...

Image segmentation is a technique in image processing where an image is divided into meaningful structures to simplify its representation. Vector quantization helps to map the continuous pixel of input space to discrete pixels in the output image. Here the advantage is to minimize the information loss. The approach in this paper focuses on the spatial as well as the gray level value of the imag...

We apply a new algebraic multigrid method for solving computer vision problems with constraints. As particular examples we solve the “shape from photometric stereo” and “image binarization” problems. A variational formulation is applied to the problem of shape reconstruction from three or more images of an object with the same viewing direction and different lighting conditions, supplemented by...

The proposed OCR algorithm to retrieve the text in the scanned document images. Here the text detection algorithm based on two machine learning classifiers: one allows generating candidate word regions and the other filters out non-text ones. The extract connected components (CCs) in images by using the maximally stable extremal region algorithm. In CC clustering adaboost classifiers are used t...