scholarly journals Development of Optical Character Recognition Software Package for Mobile Phones

2010 ◽  
pp. 99-104
Author(s):  
Sukhwant Kaur ◽  
H. K. Kaura ◽  
Mritunjay Ojha
Keyword(s):  
Mobile Phones ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
General Purpose ◽  
Desktop Computer ◽  
Text Format ◽  
Software Packages ◽  
Optical Character ◽  
Recognition Software ◽  
Day By Day

Optical Character Recognition (OCR) is a technique through which any textual information contained in images are extracted and converted into editable text format. The various OCR software packages which are available in desktop computer with scanner suffer from one primary constraint- MOBILITY. We have developed an OCR application for mobile phones. All the procedures needed for extracting the text would be performed within the mobile phone, eliminating the need for bulky devices like scanners, desktops and also laptops. Hence it would provide the user the much needed ‘anywhere, anytime’ feature for OCR. The computational power of mobiles is increasing day by day making it easier to run image processing operations for OCR application. Also the resolution of camera in mobile is increasing to match the resolution of scanners. After the document is processed, it can be communicated to another user by email facility of mobile phones as text files. The aim of this paper is to investigate the various issues involved in developing this OCR application in mobile phones. Further design and future scope for this application is elaborated giving insight to the development process. The motivation here was to provide a general purpose framework for OCR application in mobile phones. The framework is developed in a modular fashion.

Scribble-Scrabble Genius

2019 ◽  
pp. 37-73
Author(s):  
Yohei Igarashi
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Writing System ◽  
Optical Character ◽  
History Of ◽  
Recognition Software

Although Coleridge is mostly known for being a copious talker who was impossible to transcribe, this chapter recovers Coleridge’s role as transcriber, theorist of transcription practices, and inventor of his own idiosyncratic shorthand. Considering Coleridge’s time as a parliamentary reporter, his self-reflexive notebook entries, and the history of stenography, this chapter posits that Coleridge pursued an efficient writing system to record not speech but the flow of his own silent thoughts. Also discussing today’s optical character recognition software and the shorthand effect (when letters or words uncannily become illegible shapes, and non-linguistic shapes come to look like linguistic signs), this chapter culminates in a reading of the “signs” in “The Rime of the Ancient Mariner.”

scholarly journals Vehicle Number Plate Recognition using Micro Processor

2019 ◽  
Vol 8 (12) ◽  
pp. 3682-3684
Keyword(s):  
Image Processing ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Recognition System ◽  
Processing Technology ◽  
License Plate ◽  
Text Format ◽  
Optical Character ◽  
Plate Number ◽  
Image Processing Technology

An automatic license number plate recognition system that uses image processing technology for identifying the written characters and numbers on the vehicle’ license plate. The system can be used in highly secured areas to provide more safety, and can be used in parking, traffic, and other places to monitor all vehicle’s number plate in a predefined area. The character is recognized by the OCR technology that is optical character recognition system. It generates the vehicle’s license plate number in a text format. The recognized number from the license plate then can be used to retrieve more information about the vehicle and the owner.

Arabic optical character recognition software: A review

2017 ◽  
Vol 27 (4) ◽  
pp. 763-776 ◽  
Author(s):  
Faisal Alkhateeb ◽  
Iyad Abu Doush ◽  
Abdelraoaf Albsoul
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Optical Character ◽  
Recognition Software

scholarly journals Utilizing Optical Character Recognition and Boarder Detection Algorithms to Identify Trading Cards

10.29007/qkhd ◽  
2019 ◽  
Author(s):  
Brodie Boldt ◽  
Christopher Cooper ◽  
Ryan Fox ◽  
Jared Parks ◽  
Erin Keith
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Card Game ◽  
Detection Algorithms ◽  
Digital Database ◽  
Optical Character ◽  
The World ◽  
Recognition Software ◽  
Protective Case

Magic: The Gathering is a popular physical trading card game played by millions of people around the world. To keep track of their cards, players typically store them in some sort of physical protective case, which can become cumbersome to sort through as the number of cards can reach up to the thousands. By utilizing and improving optical character recognition software, the TCG Digitizer allows users to efficiently store their entire inventory of Magic: The Gathering trading cards in a digital database. With an emphasis on quick and accurate scanning, the final product provides an intuitive digital solution for storing Magic: The Gathering cards for both collectors and card owners who want to easily store their collection of cards on a computer.

Improving the Accessibility of User Accessible Archives

1998 ◽  
Vol 42 (18) ◽  
pp. 1300-1303
Author(s):  
Karin Barsness ◽  
Barrett Caldwell ◽  
Calvin Chan ◽  
Jacob Stadler ◽  
Jeff Watson
Keyword(s):  
System Design ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Signal Detection Theory ◽  
Job Design ◽  
System Structure ◽  
Electronic Text ◽  
Text Format ◽  
Optical Character ◽  
Technical Issues

This paper reviews the requirements associated with developing systems designed to convert large printed archives into electronic text format. Consideration of human factors issues include signal detection theory and job design. These two issues will greatly influence system strategies and implementation. Needs assessment and cost analysis of the system will help constrain decisions concerning technology and system structure. Technical issues involve assessing scanner and optical character recognition (OCR) software capabilities and understanding how those relate to system design. Overall system design is expected to require cooperation between smaller organizations that share similar and complimentary needs.

A Structured Method for the Recognition of Complex Historical Tables

1997 ◽  
Vol 9 (1-3) ◽  
pp. 58-77
Author(s):  
Vitaly Kliatskine ◽  
Eugene Shchepin ◽  
Gunnar Thorvaldsen ◽  
Konstantin Zingerman ◽  
Valery Lazarev
Keyword(s):  
Nineteenth Century ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Complex Structure ◽  
Source Material ◽  
Historical Sources ◽  
Tax Assessment ◽  
Optical Character ◽  
Algorithmic Model ◽  
Machine Readable

In principle, printed source material should be made machine-readable with systems for Optical Character Recognition, rather than being typed once more. Offthe-shelf commercial OCR programs tend, however, to be inadequate for lists with a complex layout. The tax assessment lists that assess most nineteenth century farms in Norway, constitute one example among a series of valuable sources which can only be interpreted successfully with specially designed OCR software. This paper considers the problems involved in the recognition of material with a complex table structure, outlining a new algorithmic model based on ‘linked hierarchies’. Within the scope of this model, a variety of tables and layouts can be described and recognized. The ‘linked hierarchies’ model has been implemented in the ‘CRIPT’ OCR software system, which successfully reads tables with a complex structure from several different historical sources.

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