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.

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 Improving Optical Character Recognition Techniques

2018 ◽  
Vol 7 (2.24) ◽  
pp. 361 ◽  
Author(s):  
Nitin Ramesh ◽  
Aksha Srivastava ◽  
K Deeba
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Document Image ◽  
Text Recognition ◽  
Digital Form ◽  
Written Text ◽  
Optical Character ◽  
Research Organizations ◽  
The World

Document text recognition uses a concept called OCR (optical character recognition),which is the recognition of printed or written text characters by a computer. This involves scanning a document containing text, and converting character by character to their digital form. Thus, it is defined as the process of digitizing a document image into its constituent characters. Equipment used to obtain clearer images for analysis are cameras and flatbed scanners. Even though it’s been out in the world since 1870, the OCR technology is yet to reach perfection. This demanding nature of Optical Character Recognition has made various researchers, industries and technology enthusiasts to divulge their attention to this field. In recent times one can notice a significant increase in the number of research organizations investing their time and effort in this field. In this research, the progress, different aspects and various issues revolving in this field have been summarized. The aim is to present a scrupulous overview of various proposals, advancements and discussions aimed at resolving various problems that arise in traditional OCR.  

Possible Approaches for Character Recognition With Existing Methodologies and State-of-the-Art Techniques

2019 ◽  
pp. 232-246
Author(s):  
Rashmi Welekar ◽  
Nileshsingh V. Thakur
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
State Of The Art ◽  
Industrial Applications ◽  
New Methods ◽  
Optical Character ◽  
The World ◽  
New Hypothesis ◽  
Key Questions ◽  
Art Techniques

The world started to talk about optical character recognition (OCR) around 1870. Then over another 25 years OCR systems were designed for industrial applications. And now the OCR software is easily available online for free, through products like Acrobat reader, WebOCR, etc. But still the research is on. Do we need to switch direction or introduce new hypothesis are some of the key questions? The purpose of this chapter is to answer the above questions and propose new methods for character recognition.

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

A Metaheuristic Algorithm for OCR Baseline Detection of Arabic Languages

2018 ◽  
pp. 707-734
Author(s):  
F. Daneshfar ◽  
W. Fathy ◽  
B. Alaqeband
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
High Speed ◽  
Metaheuristic Algorithm ◽  
Detection Process ◽  
Detection Algorithms ◽  
Optical Character ◽  
Baseline Detection

Preprocessing is a very important part of cursive languages Optical Character Recognition (OCR) systems. Thus, baseline detection, which is one of the main parts of the preprocessing operation, plays a basic role on OCR systems; improvement on baseline detection could be absolutely useful for decreasing errors in recognition words. In this chapter, a metaheuristic- and mathematical-based algorithm is recommended, which has improved the baseline detection process in relation to the well-known baseline detection algorithms. The most important advantages of the proposed method are simplicity, high speed processing, and reliability. To test this novel solution, IFN/ENIT database, which is a well-known and attending database, is utilized. However, the proposed solution is reliable to any standard database of cursive language's OCR.

A Metaheuristic Algorithm for OCR Baseline Detection of Arabic Languages

2015 ◽  
pp. 708-735
Author(s):  
F. Daneshfar ◽  
W. Fathy ◽  
B. Alaqeband
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
High Speed ◽  
Metaheuristic Algorithm ◽  
Detection Process ◽  
Detection Algorithms ◽  
Optical Character ◽  
Baseline Detection

Preprocessing is a very important part of cursive languages Optical Character Recognition (OCR) systems. Thus, baseline detection, which is one of the main parts of the preprocessing operation, plays a basic role on OCR systems; improvement on baseline detection could be absolutely useful for decreasing errors in recognition words. In this chapter, a metaheuristic- and mathematical-based algorithm is recommended, which has improved the baseline detection process in relation to the well-known baseline detection algorithms. The most important advantages of the proposed method are simplicity, high speed processing, and reliability. To test this novel solution, IFN/ENIT database, which is a well-known and attending database, is utilized. However, the proposed solution is reliable to any standard database of cursive language's OCR.

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.

scholarly journals Bubble Captcha - A Start of the New Direction of Text Captcha Scheme Development

MENDEL ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Ondrej Bostik ◽  
Karel Horak ◽  
Jan Klecka
Keyword(s):  
Character Recognition ◽  
Optical Character Recognition ◽  
Turing Test ◽  
Simple Approach ◽  
Internet Services ◽  
Malicious Activity ◽  
Optical Character ◽  
Recognition Algorithms ◽  
The World ◽  
Human Capability

CAPTCHA, A Completely Automated Public Turing test to tell Computers and Humans Apart, iswell-known system widely used in all sorts of internet services around the world designated to secure the webfrom an automatic malicious activity. For almost two decades almost every system utilize a simple approach tothis problem containing a transcription of distorted letters from image to a text eld. The ground idea is to useimperfection of Optical Character Recognition algorithms against the computers. The development of OpticalCharacter recognition algorithms leads only to state, where the CAPTCHA schemes become more complex andhuman users have a great di culty with the transcription.This paper aims to present a new way of development of CAPTCHA schemes based more a human perception.The goal of this work is to implement new Captcha scheme and assess human capability to read unusual fontsnewer seen before.

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