Ever since text processors became popular, users have dreamt of handling documents printed on paper as comfortably as electronic ones, with full text search typically appearing very close to the top of the wish list. This paper presents the design of a prototype system that takes a step into this direction. The user’s desktop is continuously monitored and of each detected document a high resolu...

Due to storage conditions and material’s non-planar shape, geometric distortion of the 2-D content is widely present in scanned document images. Effective geometric restoration of these distorted document images considerably increases character recognition rate in large-scale digitisation. For large-scale digitisation of historical books, geometric restoration solutions expect to be accurate, g...

Document images produced by scanner or digital camera, usually suffer from geometric and photometric distortions. Both of them deteriorate the performance of OCR systems. In this paper, we present a novel method to compensate for undesirable geometric distortions aiming to improve OCR results. Our methodology is based on finding text lines by dynamic local connectivity map and then applying a l...

MOTIVATION Liquid chromatography coupled to mass spectrometry (LC-MS) and combined with tandem mass spectrometry (LC-MS/MS) have become a prominent tool for the analysis of complex proteomic samples. An important step in a typical workflow is the combination of results from multiple LC-MS experiments to improve confidence in the obtained measurements or to compare results from different samples...

For user convenience, processing of document images captured by a digital camera has been attracted much attention. However, most existing processing methods require an upright image such like captured by a scanner. Therefore, we have to cancel perspective distortion of a camera-captured image before processing. Although there are rectification methods of the distortion, most of them work under...

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...

We present a deep learning approach for restoring images degraded by atmospheric optical turbulence. consider the case of terrestrial imaging over long ranges with wide field-of-view. This produces an anisoplanatic scenario where turbulence warping and blurring vary spatially across image. The proposed mitigation (TM) method assumes that sequence short-exposure is acquired. A block matching (BM...

In the past decade, advances in electronics technology have made larger imaging sensors available to experimental fluid mechanics community. These advancements enabled measurement of 2-component 2-dimensional (2C-2D) velocity fields using particle image velocimetry (PIV) with much higher spatial resolution than previously possible. However, due large size sensor, lens distortion needs be taken ...

Photo documents, documents digitized with portable digital cameras, often are affected by non-uniform shading. This paper proposes a new method to remove the shade of document images captured with digital cameras followed by a new binarization algorithm. This method is able to automatically work with images of different resolutions and lighting patterns without any parameter adjustment. The pro...