Search Results for "face recognition using java" - Page 4

Its a Face Recognition File Manager i Developed in JAVA with a Native c++ to interface with a free Face Recognition SDK that i implemented which was written in C language. IT SUPPORTS LIVE UPDATES

Framework for making Windows applications that are one .exe file in AutoHotKey_L,C++,C#, VB.NET,Java,Groovy,Common Lisp,Nemerle,Ruby,Python,PHP,Lua,Tcl,Perl,Jint,S#,WSH VBScript,HTML/JavaScript/CSS,COM, PowerShell without compiling . For .NET 4.

Stylus/Handwriting Input Panel. This is a user-configurable, gesture-aware keyboard/handwriting input panel for text entry on Linux (and other) tablet computers using the X11 system. Needs Ink2Text (<=best) or MSInkServer project for recognition.

Artificial neural network with eigenfaces for face recognition

Mostly academic research Project about next generation computing (Software only), trying to find new ideas and solutions how computers can work in the future using technologies like voice recognition and synthesisation. Everyone is invited to join in

TCR Neuroph - Text Character Recognition is java tool developed to recognize scanned text , using Java Neural Network Framework - Neuroph

GlueFace is a Java application for adding lipsync'ed facial animation to BrickFilms (Lego-style) films. The position, size, rotation and 3D spin can be modified using a timeline, so the face "sticks" accurately to the character.

System using to verify personality by face's photo.

Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

OpenNeuron is a neural networks implementation written in Java. Currently supports only Kohonen Network model, but API is designed to be easily extended to model other network types. This implementation was used for face thermal pictures recognition.

This project is an attempt to solve issues we face while using hibernate.Currently solving these four problems: 1)Updating object delete null data. 2)Projection returns list of object[] instead of pojo. 3)Don't write HQL 4)Paging logic rewrit

This project aims at developing a face authentication system, using the Eigenfaces, and Eigenfeatures. The Approach is a principal component analysis method, in which a set of characteristic pictures are used to describe the variation between face images.

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.

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.

JEquation provides an intuitive and fast way to input mathematical expressions into latex documents by using prestructured neural network based handwriting recognition.

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.

The OpenCV DLLCapture project goal is to provide an easy way for using the Intel OpenCV library face recognition feature within custom built applications.

The Human Body Project allows computers to better understand and interact with people. Using a webcam the system can detect and recognise individuals (face recognition), identify their gaze direction, facial expressions and upper body postures.

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.

xmillum is a framework for visualizing document recognition results and for creating interactive document recognition applications. It can be freely extended using Java plugins.

face recognition software using OpenCv library and development face identity pattern with detection object with full detail software description watch video : https://youtu.be/-U74iHcJJ48

This is the android project for ekyc by using face recognition, liveness detection and ID document recognition technologies. It works on premise meaning that user data never leaves the device(mobile phone, server, etc) Face recognition is super face and unbiased. It's using 3D passive liveness detection to detect printed photos, video replay, 3D masks and deep fakes.

...It achieves a WER of 11.3% (or 9.01% with LM) on Common Voice test data, demonstrating high accuracy for a single-language ASR model. Inference can be done using HuggingSound or via a custom PyTorch script using Hugging Face Transformers and Librosa. Training scripts and evaluation methods are open source and available on GitHub. It is released under the Apache 2.0 license and intended for ASR tasks in Brazilian Portuguese.

wav2vec2-large-xlsr-53-russian is a fine-tuned automatic speech recognition (ASR) model based on Facebook’s wav2vec2-large-xlsr-53 and optimized for Russian. It was trained using Mozilla’s Common Voice 6.1 and CSS10 datasets to recognize Russian speech with high accuracy. The model operates best with audio sampled at 16kHz and can transcribe Russian speech directly without a language model. It achieves a Word Error Rate (WER) of 13.3% and Character Error Rate (CER) of 2.88% on the Common Voice test set, with even better results when used with a language model. ...

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...