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High performance, royalty-free Java OCR and barcode recognition on Windows, Linux, Mac OS and Unix.​ ... You can convert images (in various formats like JPEG, PNG, TIFF, PDF, etc.) into editable document formats (Word, XML, searchable PDF, etc.).​ ... With enhanced image processing and text ...

You can get the software development kit (SDK) at www.javasoft.com. It has all the libraries, instructions, and Java tools that work on the command line. The JavaSoft site is the place to go for information about writing Java and adding Java applets to your pages.

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Asprise Java OCR library offers a royalty-free API that converts images (in formats like JPEG, PNG, TIFF, PDF, etc.) into editable document formats Word, XML, ...

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This Subsection de nes a taxonomy for localization algorithms based on their computational organization Centralized algorithms (Section 94) are designed to run on a central machine with plenty of computational power Sensor nodes gather environmental data and pass them back to a base station for analysis, after which the computed positions are transported back into the network Centralized algorithms circumvent the problem of nodes computational limitations by accepting the communication cost of moving data back to the base station This trade-off becomes less palatable as the network grows larger, however, since it unduly stresses nodes near the base station Furthermore, it requires that an intelligent base station be deployed with the nodes, which may not always be possible This scaling problem can be partially alleviated by deploying multiple base stations (forming a multitier network).

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20 Feb 2018 ... Optical Character Recognition, or OCR is a technology that enables you to ... There are a couple of open source frameworks that can be used to build an OCR ... JMagick — JMagick is the java interface for ImageMagick C- API .

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In contrast, distributed algorithms are designed to run in the network, using massive parallelism and internode communication to compensate for the lack of centralized computing power Often distributed algorithms use a subset of the data to solve for each position independently, yielding an approximation of a corresponding centralized algorithm where all the data are considered and used to solve for all the positions simultaneously There are two important approaches to distributed localization The rst group, beacon-based distributed algorithms (Section 95), typically starts with some group of beacons (Subsection 921) Nodes in the network obtain a distance measurement to a few beacons, then use these measurements to determine their own location In some algorithms, these newly localized nodes become beacons to help other nodes localize The second group approaches localization by trying to optimize a global metric over the network in a distributed fashion.

This group splits out into two substantially different approaches The rst approach, relaxation-based distributed algorithms (Section 96) is to use a coarse algorithm to roughly localize nodes in the network This coarse algorithm is followed by a re nement step, which typically involves each node adjusting its position to optimize a local error metric By doing so, these algorithms hope to approximate the optimal solution to a networkwide metric that is the sum of the local error metric at each of the nodes Coordinate system stitching (Section 97) is the second approach to optimizing a networkwide metric in a distributed manner In these algorithms, the network is divided into small overlapping subregions, each of which creates an optimal local map Finally, the subregions use a peer-to-peer process to merge their local maps into a single global map In theory, this global map approximates the global optimum map.

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The next four sections treat each of these groups in turn..

a program theory may be traced with qualitative observations and interviews, which can be used to assess whether the expected sequence of changes occurred. For example, rather than survey freshman about their subjective norms, in some instances one might have more open-ended interviews, with narrative reporting of representative views.

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