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OCR primer
OCR, scanner, glyph, dpi, gray, character, character codes, Jackie, picture, gray scale. OCR generates character codes to match the pictured text. Optical Character Recognition (OCR) is a process by which glyph images (a glyph is the visual image of a character) yield character codes. No, gray is not a good color for scanning (and it need not be this gray). When an image is scanned, the scanner measures the light intensity for thousands (or millions) of equally spaced locations along the image. The scanner has both coarse grids and medium grids and fine grids, controlled by the "resolution" of the scan, as measured in dot locations per linear inch (dots per inch or dpi). docs_basic-ocr materials, OmniPage Pro, scanner, Basic OCR, formatting, scanning, sheet feeder, fonts, photographs, separate. This document will explain how to prepare documents for scanning, set up the scanner for feeding the document, and how to actually scan, correct output, and save documents using OmniPage Pro. Original or photocopied printed pages of the materials to be scanned. With multi-page documents, you will use the scanners automatic sheet feeder feature to facilitate the scanning process. Scanning in two pages, side by side, can result in bad formatting or make it difficult to correct errors in the OCR processing. Retain Font & Paragraph duplicates fonts and special formatting used in the original printed document, along with paragraphs. TMSColorHighlighterOCRWhitePaper http://www.tmsinc.com/docs/PDF/TMSColorHighlighterOCRWhitePaper.pdf highlighter, OCR accuracy, thresholding, Proximity Color, white paper, color highlighter effect, VirtualBulb, JPEG, Dynamic Thresholding, Image Detergent. TMSSequoia has identified the need to understand the effect application of color highlighter has on OCR accuracy when the highlighter information is used to identify extraction zones. Determine the optimum method for removing or compensating for highlighter color when thresholding for six colors of highlighter markers (Yellow, Pink, Purple, Blue, Green, Orange) on a white background. Image Detergent processing, VirtualBulb drop and Proximity color drop can all help reduce the impact of JPEG artifacting even on images with black text on a white background. Dynamic Thresholding: The image is analyzed and an optimum threshold value is selected by the software. sdiut97_paper OCR, keyword, character, Scribble, lexicon, segmentation, execution, detection, word shape, algorithm. The first approach uses OCR on each document followed by analysis of the resulting ASCII text. An alternative approach is the use of whole word shape recognition (as opposed to individual character recognition) applied directly to the image. The comparison discusses accuracy of keyword detection, speed of execution, and the relationship between accuracy and image quality. The system, called Scribble, uses the shape of the keyword as the primary retrieval property. For machine printed English text, the word shape is determined by the presence of with components that rise above the height of a lowercase x) and components that fall below the baseline of the text). callan OCR, community, Retrieving, images, DRR, relevance, characters, language model, conference, formats. IR and OCR have largely developed independent standards and metrics, with OCR focused on literal accuracy, and IR focused on essential "content/meaning". The workshop on "Information Retrieval and OCR: From Converting Content to Grasping Meaning" was intended to stimulate cross-fertilization between OCR and IR, in hopes that better use of IR will enable the OCR community to avoid expensive hand processing, and to demonstrate that the combination of present static and dynamic image processing and present state-of-the-art robust information retrieval can generate substantial advances in both extraction of messages from image streams and conversion of existing paper variants. David Grossman set the stage for discussion with his talk "Retrieving OCR Text: A Survey of Current Approaches". vsocrocx syntax, Vsocr OCX, OCR, VisionShape, zone, specifying, object expression, marks, OMR boxes, Remarks. If Vsocr is registered, it should appear in the list of controls as "VisionShape Trainable OCR Control." Part Description object An object expression that evaluates to a Vsocr OCX object. value An Integer value specifying the type of action to perform, as described in Settings below. If that property is set to something other than an empty string, the Vsocr OCX will assume it is the filename of a TIFF image to process. Sets the maximum number of columns of OMR boxes or OCR characters. The density technology works best with kinds of marks that are filled in completely or almost completely (e.g. Scantron forms). U2440 http://www.unicode.org/charts/PDF/U2440.pdf Unicode, OCR, character, Unicode Standard, fonts, charts, Unicode Consortium, code charts, excerpt file, dash. This file contains an excerpt from the character code tables and list of character names for The Unicode Standard, Version 3.0. The shapes of the reference glyphs used in these code charts are not prescriptive. Considerable variation is to be expected in actual fonts. For a complete understanding of the use of the characters contained in this excerpt file, please consult the appropriate sections of The Unicode Standard, Version 3.0 (ISBN 0--201--61633--5), as well as the Unicode Technical Reports and the Unicode Character Database, which are available online. You may not incorporate them into any product or publication, or otherwise distribute them without express written permission from the Unicode Consortium. kavallieratou4 slant, characters, recognition, algorithm, signals, histograms, slant angle, zones, pixels, Wigner-Ville Distribution. A slant removal algorithm is presented based on the use of the vertical projection profile of word images and the Wigner-Ville distribution. Handwritten text is usually characterized by slanted characters. In particular, the slanted characters slope either from right to left or vice versa. The WVD was used in order to estimate the slant angle that can range between ± 45o according to the original position. The performance of the character recognition system was increased by up to 9% for the same data, while the training time cost was significantly reduced. Separation of the stroke in two zones and shifting of the upper zone by one pixel to the left. HPL-2002-7R1 http://www.hpl.hp.com/techreports/2002/HPL-2002-7R1.pdf tagger, tagging, NLP, error rate, character error, POS, Brill Tagger, weighted voting, recognition, part-of-speech. Part-of-speech (POS) tagging is the foundation of natural language processing (NLP) systems, and thus has been an active area of research for many years. However, one question remains unanswered: How will a POS tagger behave when the input text is not error-free? Experimental results show that a POS tagger's accuracy will decrease linearly with the character error rate and the slope indicates a tagger's sensitivity to input text errors. In our experiment, Brill tagger is statistically the best among the three taggers, so we assign a weight of 1.1 to Brill tagger and 1 to the other two taggers. When the input text is perfect, the weighted voting can reduce the tagging errors significantly (by more than 20% in this experiment). scanocr format, photo, scanner, opens, Adobe, pixels, ppi, OmniPage Pro, OCR, scanning. Scanning is used to digitalize slides, photos, text, and PDF files. The CAIT Media Center has two color flatbed scanners: an HP ScanJet 5200C and an HP ScanJet II. CAIT's scanning workstations are equipped with Adobe PhotoDeluxe and Adobe Photoshop scanning software, and OmniPage Pro OCR (Optical Character Recognition) software, used to convert paper documents to editable electronic format. 1. Place your page face down in the scanner against the upper right corner. The scanned image automatically opens in a photo window at 72 ppi. 2. Select the units of measure (inches or pixels). The photo's original proportions and the size of the final image file will remain the same as you resize or change the resolution. about_imagelink_ocr images, Logician, scanning, reference, ImageLink, scanned images, OCR, patient, management, interface. Logician 5.1 and 5.2 functionality ImageLink is a new Logician 5.1 interface that provides health care providers with rapid, easy access to images and textual documents stored on an external Document Imaging Management System (DIMS). ImageLink is not intended to be a solution for scanned images and documents stored directly within the Logician database, but is an interface that enables the functionality to identify and actively view images and documents stored on an external database server from Logician. Medical records staff resources can be directed towards scanning documents instead of filing documents and pulling paper charts. The indexing process identifies a document type for the object, associates the object with a Logician patient, and generates an external reference to the object. SwissReader2300 keyboard, interface, USB Adapter, standard, OCR, keyboard wedge, optional USB, applications, Swiss, Reader. The Dative Swiss Reader Model 2300 is a Multiline OCR Reader design to read up to three lines of OCR data typically found on ID Cards, Passports and banking documents. The Model 2300 is built to Swiss quality standards and is based on leading edge OCR technology providing unprecedented performance. Thousands of Dative Swiss Readers are installed in demanding banking applications requiring high accuracy, performance and reliability. The Model 2300 is easily to install, via build in keyboard emulation, RS232 or optional USB interfaces. The Model 2300 has programmable data editing functions to meet any application's requirements. The Model 2300 is compact, ergonomically easy to use and cost effective.
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