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API to read text from Image file using OCR - Stack Overflow
You can try javaocr on sourceforge: http://javaocr.sourceforge.net/. There is also a great example with an applet which uses Encog: ...

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Mar 17, 2018 · Simple java program code to convert Image to Text ... to text using CMD Command Prompt ...Duration: 15:51 Posted: Mar 17, 2018

In the business world, almost everywhere one looks new technology abounds computers, printers, scanners, personal digital assistants, and mobile phones, plus networks for these devices to plug into Why is this First, since 1995 the United States has experienced dramatic improvements in productivity Although information technology s contribution continues to be debated, evidence suggests that it is responsible for at least some of the effect (Federal Reserve Bank of San Francisco, 2000; McKinsey & Company, 2001; Oliner & Sichel, 2000) Technology may help increase productivity because manipulating information electronically is often cheaper than physically manipulating things (Negroponte, 1995) The following are examples: Southwest Airlines expends $10 to sell a ticket through a travel agent, while it pays $1 to make an online sale (Abate 2001) Because Southwest gets 30% of its passenger revenue through online sales, the savings are enormous GE purchases large amounts of supplies and raw materials through online exchanges, generating an estimated savings of $600 million through lower prices and cheaper transaction costs (De Meyer & Steinberg, 2001) Wal-Mart has extensive databases that give real-time information on individual store inventories to the chain s 10,000 suppliers, who can re ll inventory as needed (Steinberg, 2001) Among other things, this system saves Wal-Mart the cost of buying and storing more inventory than it can quickly sell Cisco Systems must train thousands of sales and technical support staff each time a new product is launched Since these employees are deployed worldwide, the travel costs alone are huge Through e-learning, Cisco has reported savings of 40 60% over instructor-led courses (Cisco Systems, 2001) Besides aiding ef ciency, technology can break down traditional barriers, enhancing the value of products and services One such barrier was the ageold relationship between richness and reach (Evans & Wurster, 2000) It used to be that a business could either reach many customers with a relatively spare message say, through broadcast advertising or engage a few customers in a deeper interaction (eg via a showroom encounter) The Internet has fundamentally changed that traditional relationship by permitting companies to reach many individuals in a personalized way Customers can use the Web to order a computer built to particular speci cations (http:/ /wwwdellcom), design their own sneakers (http:/ /wwwcustomatixcom), con gure of ce furniture to suit their needs (http:/ /wwwhermanmillercom), or purchase pants to t (http:/ /wwwlandsendcom) The value that technology provides to businesses and consumers is continually increasing One illustration is Moore s law: since the late 1960s, computational capability has doubled every 1 2 years (Kurzweil, 1999; Negroponte, 1995) The impact has been to dramatically expand the tasks computers can.



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Reading Text from Images Using Java - DZone Java
10 Mar 2017 ... This quick Java app uses the Tesseract library to help turn images into text. ... the tessdata-master folder from https://github.com/tesseract- ocr /tessdata ... file in your main project folder (for example , here, it is c:\myprogram\).

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GOCR is an optical character recognition program which is released under ... A simple graphical frontend written in Tcl/Tk and some sample files are provided.

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Development with Tess4J in NetBeans, Eclipse, and Command-line
Add a new Java Class file named TesseractExample with appropriate ... In project's Properties window, select Java Build Path > Add External JARs... and add ...

For each attack and each variable, whose 10-minute data sample under the inactive condition and attack data sample for the entire duration of the attack condition are obtained from Run 1 of data collection, the Mann-Whitney test in Statistica is performed using the inactive data sample and the attack data sample to determine if there is a signi cant difference in the mean feature of the data, as described in Section 81 If a signi cant mean difference is present, the sample averages of two data samples as the mean estimates of two populations, respectively, are compared to identify if the attack causes an increase or a decrease in the mean from the inactive condition to the attack condition A mean increase is denoted by M+, and a mean decrease is denoted by M The variable name along with either M+ or M is also noted for a mean shift characteristic of the attack This procedure of applying the Mann-Whitney test to two samples of inactive data and attack data is repeated for each variable under each attack As a result, a list of the mean shift characteristics, which are de ned by the data variables along with an indication of M+ or M for each of these variables, is obtained for each attack Similarly, a list of the mean shift characteristics is obtained for each of the two normal use activities, web browsing and text editing, by applying the Mann-Whitney test to two samples of 10-minute inactive data and 10-minute normal use data from Run 2 for text editing or Run 3 for web browsing for each variable For each attack, each mean shift characteristic of the attack is examined to see if the same characteristic (the same variable with the same mean shift) also manifests as the mean shift characteristic of either text editing or web browsing If so, this mean shift characteristic of the attack is removed from the initial list of the mean shift characteristics for the attack Removing such attack characteristics which also appear in a normal use activity produces the nal list of the mean shift characteristics for the attack Figure 81 summarizes the procedure of discovering the mean shift data characteristics for the attacks Although the above procedure focuses on he mean shift attack characteristics, the mean shift characteristics for the text editing and the web browsing can also be uncovered in a similar manner Ultimately, instead of classifying the activities into two categories of attack and normal use, each individual activity can be considered as a distinctive category to allow activity detection and identi cation for purposes other than cyber attack detection For example, corporations may be interested in identifying user activities that are not allowed in the work environment.

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Tesseract OCR with Java with Examples - GeeksforGeeks
In this article, we will learn how to work with Tesseract OCR in Java using the ... Pre-process image data, for example : convert to gray scale, smooth, de-skew, ...

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Mar 20, 2019 · Here is a simple small Java program that uses Qoppa's PDF library jPDFProcess and the Tesseract libraries to recognize text in a PDF and add ...

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OCR with Java and Tesseract – Brandsma Blog
Dec 7, 2015 · Introduction. Ever wanted to scan (OCR) a document from an application? You may want to take a look at Tesseract. Tesseract is ocr engine ...

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Asprise Java OCR SDK - royalty-free API library with source code ...
Asprise Java OCR library offers a royalty-free API that converts images (in ... Download a copy of Asprise OCR SDK from http://www.asprise.com/product/ocr.












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