Optical character recognition (OCR) is the process of extracting handwritten or printed text from a scanned image and converting it to machine-readable form for further data processing, such as searching editing. Automatic extraction using OCR helps digitize documents improved productivity accessibility preservation historical documents. This paper provides survey current state-of-the-art appli...

In literature, many feature types and learning algorithms are proposed for document classiication. However , an extensive and systematic evaluation of the various approaches has not been done yet. In order to investigate diierent text representations for document classiication, we have developed a tool which transforms documents into feature-value representations suitable for standard learning ...

We present a lexicon-free post-processing method for optical character recognition (OCR), implemented using weighted finite state machines. We evaluate the technique in a number of scenarios relevant for natural language processing, including creation of new OCR capabilities for low density languages, improvement of OCR performance for a native commercial system, acquisition of knowledge from a...

We have measured the amplitude of ocular counterrolling (OCR) and the change in vertical deviation in the Bielschowsky head-tilt test (BHT) in 23 cases of unilateral superior oblique palsy. OCR was measured with a photographical method, using limbal, conjunctival vessels as landmarks. Average OCR of the healthy eye was 5.4 +/- 2.4 (SD) deg either side, at 45 deg of body-tilt. BHT and OCR (of th...

In this work clustering and recognition problem of fonts in document images is addressed. Various font features and their clustering behavior are investigated. Font clustering is implemented both from shape similarity or from OCR performance points of view. A font recognition algorithm is developed that can identify the font group or the individual font from which a text was created. © 2001 SPI...

The collaboration of the network and optical character recognition (OCR) is expected to be useful for extending the applications of OCR, and it has a potential to open up new vistas in future services using OCR. We presented the basic ideas of the synergetic OCR system in 2004, and developed a platform called WeOCR to realize the web-based OCR services. The number of accesses has been increasin...

In this paper we present an OCR validation module, implemented for the System for Preservation of Electronic Resources (SPER) developed at the U.S. National Library of Medicine.1 The module detects and corrects suspicious words in the OCR output of scanned textual documents through a procedure of deriving partial formats for each suspicious word, retrieving candidate words by partial-match sear...

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...

PURPOSE A newly developed head-mounted perimeter termed "imo" enables visual field (VF) testing without a fixed head position. Because the positional relationship between the subject's head and the imo is fixed, the effects of head position changes on the test results are small compared with those obtained using a stationary perimeter. However, only ocular counter-roll (OCR) induced by head til...

Purpose To understand the relationship of static ocular counter rolling (s-OCR) and clinical manifestations in acquired unilateral superior oblique palsy subjects during the Bielschowsky head tilt test. Methods Nineteen subjects that were diagnosed with acquired unilateral superior oblique palsy were included. Fundus photographs were obtained at different head tilt angles to evaluate static o...