OCR Sample Clauses
OCR a. Finishing work on the previous models Finishing research for R&D-level solutions that were developed during the first phase of the project. Assessment of validity and potential improvements to the solutions.
b. Training models based on templates Building out a system that allows OCR based on specific templates, detected via the Logo detection algorithms.
c. Performance improvements Overall improvements to the performance of the service.
d. Building out the OCR service Buildout of R&D-level service that allows images to be processed. The service was not built as part of the first phase.
e. ERR calculations Calculations of ERR for each specific step, as well as the calculations for the final report.
OCR. 13 1. Whenever possible, problems shall be resolved informally and at the point of service. 14 CONTRACTOR shall establish an internal informal problem resolution process for clients not able to 15 resolve such problems at the point of service. Clients may initiate a grievance or complaint directly with 16 CONTRACTOR either orally or in writing.
17 2. Within the time limits procedurally imposed, the complainant shall be notified in writing as 18 to the findings regarding the alleged complaint and, if not satisfied with the decision, may file an appeal.
OCR. Optical Character Recognition is a technique used to identify glyphs within scanned documents or images, and to produce the appropriate electronically encoded characters, usually in ASCII or in Unicode [63]. This is often combined with other techniques to produce further analysis, such as identifying words, formulae, tables, diagrams and other structural elements within the document. The most highly researched area of OCR is the recognition of plain text written in a Latin script, and there are many high quality commercial and open source software applications available, which when used in conjunction with high quality documents, can achieve extremely high recognition rates. In this case, a high quality document would have a number of attributes, namely Well printed, on a good paper, with glyphs made of solid unbroken lines. Well typeset, in a common font with no overlapping of characters, consistent spacing. Well scanned, at a resolution of around 600 DPI or above, with minimal noise and skew. However, documents frequently lack some of these attributes and many users require more than just plain text recognition, for example, the identification and analysis of elements such as tables, formulae and metadata. These tasks require more advanced techniques and are the focus of much current research. There are several OCR tools available, either free (OCRopus, Tesseract , Ocrad , GOCR or CuneiForm) or commercial (FineReader, Omnipage, AnyDoc Software, Brain- xxxx, ExperVision, Readiris, ReadSoft , SmartScore, Infty or Simple OCR ).1
2.2.1 Tesseract Tesseract [24] is a free software optical character recognition engine that was originally developed as proprietary software at Hewlett-Packard between 1985 and 1995. After ten years without any development taking place, Hewlett Packard and University of Nevada, Las Vegas released it as an open source in 2005. Tesseract is currently in under development by Google and released under the Apache License, Version 2.0. Tesseract is considered one of the most accurate free software OCR engines currently available.
2.2.2 FineReader FineReader OCR Engines are commercial products by ABBYY. FineReader recognizes 195 OCR languages, including: 37 main languages with Latin, Cyrillic, Greek or Armenian characters, East Asian languages and 113 ICR languages.2 FineReader Engine’s recognition API delivers special features for pattern training and creation of user languages. It does not and probably never will support math OCR, thou...
OCR. 2 shall advise clients of the following: CONTRACTOR’s statement
OCR. 2 writing as to the findings regarding the alleged complaint and, if not satisfied with the decision, may file 3 an appeal with the Office for Civil Rights
OCR. “OCR” shall mean the Office for Civil Rights (who oversees and enforces HIPAA and HITECH).
OCR. To the extent that the producing party has applied Optical Character Recognition (OCR) to paper documents converted to TIFF format, the producing party will produce such documents along with the OCR text. A single OCR text file shall be produced for each document and be named consistently with the starting xxxxx label of the document (e.g., for a document spanning DFT-0000001 - DFT-0000009, the production would include DFT-0000001.txt and this text file would include all OCR text from DFT- 0000001 - DFT-0000009).
OCR. CONTRACTOR’s statement shall advise participants of the following:
OCR. Optical character recognition software provided under this Agreement that is used to automatically extract characters from an image of a license plate.