Search Results for "iris recognition using java" - Page 2
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Showing 33 open source projects for "iris recognition using java"
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This is a J2ME implementation of barcode capture and recognition for EAN barcodes using a cellphone camera. It is a port of ReadBarC to J2ME, with improvements in processing speed to compensate for the slower Java and the addition of EAN barcode support.
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A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.
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An Iris Recognition system written in Java. Acquires an image, locates the iris and produces a unique 'iris profile' for it. Will be fully supported by its own GUI but potentially linked into other applications, such as xlock.
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JEquation provides an intuitive and fast way to input mathematical expressions into latex documents by using prestructured neural network based handwriting recognition.
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Dragon Character Training is a PalmOS program using stroke recognition to help you learn to read and write Chinese characters. It is good for learning Mandarin vocabulary and characters.
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Mouse Gestures is an open source (LGPL) pure Java library for recognition and processing mouse gestures. With Mouse Gestures you have a fast way to execute commands without using the keyboard, menus or toolbars. Compatible with JDK1.3, JDK1.4 and JDK1.5.
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xmillum is a framework for visualizing document recognition results and for creating interactive document recognition applications. It can be freely extended using Java plugins.
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MMUAVC
A Multimodal approach to control a Unmanned Aerial Vehicle
Welcome to Multimodal Unmanned Aerial Vehicle Controller (MMAR) This project intends to develop a multimodal interface which gives a human operator capability of controlling a QuadRotor UAV efficiently and more easily. During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize...
