Digitization of documents recently has become an important technology. However, it is difficult for existing scanners to read books at high speed and at high resolution simultaneously. In order to realize a promising new book scanning system, we aimed to scan a book containing many pages by using multiple high-speed cameras to acquire images while continuously flipping through the pages, then i...

End-stopped perceptive fields associated with line targets were demonstrated previously with length and width Westheimer functions. In this study we investigated rectifying non-linearity in these perceptive fields to examine whether they directly reflect the organization of cortical receptive fields. Specifically, we reversed the polarity of parts of the background field associated with a speci...

This paper addresses the topic of image rectification, a widely used technique in 3D-reconstruction and stereo vision. The most popular algorithm uses a projective transformation to map the epipoles of the images to infinity. This algorithm fails whenever an epipole lies inside an image. To overcome this drawback, a rectification scheme known as polar rectification can be used. This, however, f...

We propose a new method for rectifying a geometrical distortion in the elemental image set and extracting an accurate lens lattice lines by projective image transformation. The information of distortion in the acquired elemental image set is found by Hough transform algorithm. With this initial information of distortions, the acquired elemental image set is rectified automatically without the p...

The collections of historical books are an important source of information, both for the history of previous periods and for the development of the cultural documentation itself. Although to date, there have been made several attempts of digitalization and electronic navigation, there is not an appropriate frame of optical process and analysis of the content of these collections, consequently a...

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...

A frequent challenge for many Text Understanding Systems is to tackle the variety of text characteristics in born-digital and natural scene images to which current OCRs are not well adapted. For example, texts in perspective are frequently present in real-word images, but despite the ability of some detectors to accurately localize such text objects, the recognition stage fails most of the time...

Image stereo-rectification is the process by which two images of the same solid scene undergo homographic transforms, so that their corresponding epipolar lines coincide and become parallel to the x-axis of image. A pair of stereo-rectified images is helpful for dense stereo matching algorithms. It restricts the search domain for each match to a line parallel to the x-axis. Due to the redundant...

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau...