Software Downloads for "Face Recognition Login"

3D Face Recognition System V 4.3: A Hypride And Effective Source Code For 3D Face Recognition System (Last Update) This method uses 3-D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the face, such as the contour of eye sockets, nose and chin. The advantages of 3-D facial recognition are that it is not affected by changes in lighting, and it can identify a face from a variety of angles, including profile view.

  • Platform: Android, AS/400, BEOS, BlackBerry, Handheld, iOS 4.x, Java, Linux, Mac, MS-DOS, Netware, OpenVMS, OS/2, Palm, Pocket PC, RIM, Symbian, Tablets, Unix, Windows
  • Publisher: Biometric Recognition Code
  • Date: 20-11-2014
  • Size: 6466 KB

Login to your PC without touching a thing! Luxand Blink! is a free tool to let you log in to your Windows account by simply looking into a webcam - no passwords to type and no fingers to scan. The innovative face recognition technology developed by Luxand recognizes users\' faces quickly and reliably, and is able to match the user with an associated account even with different haircuts, beards or mustaches grown or shaved off while completely eliminating false positives. The real innovation implemented in the technology is the ability to recognize registered users no matter what.

smile-in is a face logon tool for Windows utilizing face recognition technology with live detection. Look in your webcam. smile-in will recognize your living face and your secured Windows account will open. Normal changes ( hairstyle, beard, glasses) will be no problem. No passwords needed. Adjustable live detection makes logon to your Windows account with photos impossible. Flexible user administration of smile-in lets your to organize access of same person to many Windows user accounts as well as to use one Windows user account for many persons.

  • Platform: Windows
  • Publisher: nemitec GmbH
  • Date:
  • Size: 11816 KB

Add facial recognition and biometric identification features to your applications. FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, Objective C, VB, Java and Delphi developers implement fast and precise face recognition and identification in their applications. Working in 32-bit and 64-bit systems, FaceSDK is used to build Web, Windows, Linux, Mac OS X, iOS and Android applications, and enables face-based biometric authentication on still images and real-time video streams. FaceSDK offers fast and precise face recognition and identification.

FaceCode - Face Recognition PC access control software FaceCode gives you complete access control to your PC like no other product before. Specially designed to prevent children, family members, co-workers and other workstation users from gaining access to your computer, FaceCode is the only product that can ensure the real identity of the user. Using a simple web-camera and without the need to type in username or password FaceCode is the perfect user friendly access control software to your PC.

When surfing the internet, users are required to fill in username and passwords in many websites (bank, mail, government...). Moreover, most of the web sites ask you to change password every month. That's dozens of passwords per year. FaceCode Password Bank comes to your help. FaceCode Password Bank provides you with easy to use password management tool, using face recognition as secure automatic access to websites and applications. By creating a FaceCode Password Bank account you can protect all your access codes in an encrypted library and your face is your key.

Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi.

This code is PCA base face recognition programme. It reads nots(here 5) faces from ORL database and the rest (noc-nots) are used as test. PCA_Performance shows the recognition performance. In order to be able to run this programme for ORL face database you need to download the following zip-file. Then copy this code in the folder which includes the face samples and then run this script. The zip-file is available at: http://www.mathworks.com/matlabcentral/fileexchange/22466 This code has been written in Spring 2006 by me, Gholamreza Anbarjafari (Shahab).

The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct of my research work. It includes implementations of the following photometric normalization techniques: the single-scale-retinex algorithm, the multi-scaleretinex algorithm, the single-scale self quotient image, the multi-scale self quotient image, the homomorphic-filtering-based normalization technique, a wavelet-based normalization technique, a wevelet denoising-based normalization technique, the isotropic-diffusion-based normalization technique, the anisotropic diffusion-based normalization technique, the non-local means-based normalization technique, the adaptive non-local-means-based...

  • Platform: Matlab, Scripts
  • Publisher: Vitomir Struc
  • Date: 19-03-2013
  • Size: 399 KB

This Face Recognition System uses Kekre Transform for Face recognition depicted through a GUI.This GUI depicts the face recognition system developed through feature extraction by Kekre Transform Algorithm. There are several functions that are provided using the GUI such as the view testbase and database tabs which can be used to view the folder in which the test images or the query images are stored. The Detect similar Face tab displays the result by obtaining the recognized image. Also, the Profile button can be used to display the profile of the authenticated user for identification purposes.

  • Platform: Matlab, Scripts
  • Publisher: Pavan Bhat
  • Date: 03-01-2013
  • Size: 1106 KB

Subspace learning based face recognition methods have attracted many researchers' interests in recent years. In this paper, a novel Laplacian Smoothing Transform (LST) is proposed to transform an image into a sequence, by which low frequency features of an image can be easily extracted for a subspace learning method for face recognition. Generally, the LST is able to be used as a pre-processing method of a learning method for a face recognition. Extensive experimental results show that the LST method performs better than other preprocessing methods, such as discrete cosine transform, principal component analysis and discrete wavelet transform, on ORL, Yale and PIE face databases.

  • Platform: Matlab, Scripts
  • Publisher: Suicheng Gu
  • Date: 04-06-2013
  • Size: 3738 KB

This is a demonstration of the Volterrafaces face recognition system. This complete demo includes data file and can be run with various training and testing set sizes. The algorithm implemented here was published in the following paper, please cite it if you find this code useful: Ritwik Kumar, Arunava Banerjee and Baba C. Vemuri, Volterrafaces: Discriminant Analysis using Volterra Kernels', IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2009. This paper can be found at www.seas.

  • Platform: Matlab, Scripts
  • Publisher: Ritwik Kumar
  • Date: 16-01-2013
  • Size: 2079 KB

Useful functions for face recognition research. The PhD (Pretty Helpful Development functions for) face recognition toolbox is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as a byproduct of my research work and is freely available for download. The PhD toolbox features implementations of several popular face recognition techniques, such as principal component analysis, linear discriminant analysis, kernel principal component analysis, or kernel fisher analysis.

  • Platform: Matlab, Scripts
  • Publisher: Vitomir Struc
  • Date: 03-05-2013
  • Size: 2662 KB

The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as a byproduct of my research work and is freely available for download. The INface toolbox v2.0 includes implementations of the following photometric normalization techniques: the single-scale-retinex algorithm, the multi-scale-retinex algorithm, the single-scale self quotient image, the multi-scale self quotient image, the homomorphic-filtering-based normalization technique, a wavelet-based normalization technique, a wevelet-denoising-based normalization technique, the isotropic diffusion-based normalization technique, the anisotropic-diffusion-based normalization technique, the non-local means-based...

  • Platform: Matlab, Scripts
  • Publisher: Vitomir Struc
  • Date: 01-04-2013
  • Size: 717 KB

In this we implement the face recognition algorithm proposed in "Robust Face Recognition via Sparse Representation." by John Wright, Allen Yang, Arvind Ganesh, Shankar Sastry, and Yi Ma. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 2, February 2009. Procedure: Step 1) open FaceRecognitionTool.m in MATLAB and run it. Step 2) Press Train button to load the training images. Step 3) Once data loaded Press SingleTest button for testing the algorithm once OR press MultiTest for testing the method for many times.

  • Platform: Matlab, Scripts
  • Publisher: B H Sri Hari
  • Date: 05-03-2013
  • Size: 3758 KB

Simple face recognition software. Allows for ordinary user and super user. Based on Qt, OpenCV and MySQL database. Client/Server.
3D to 2D Face Recognition License - GNU General Public License (GPL).

OpenCV face recognition Sample Application

OpenCV Manager needed . If not installed, the application will ask download.

Instructions:
A It takes at least two faces saved so you can begin to recognize
A
A Training Mode: Write the name of the person, focus and when it begins to appear a box locating a face press "Rec". Press Rec repeatedly to store different gestures

A Find mode. Focus on one face and if recognized, its name appears. An icon will appear green, yellow or red depending on the degree of confidence in recognizing
A
Button "View All": See the faces stored.

  • Platform: Android, Windows
  • Publisher: Robotic Apps
  • Date:
  • Size: 9830 KB

Video surveillance software based on artificial intelligence. Automatic object detection and face recognition. Webcam Pro incorporates advanced features, such as a drag and drop user interface, motion detection, remote viewing streaming video over the Internet. Use web camera pro to watch your spouse at home while you\'re away or make sure your babysitter is not neglecting your kids or to monitor pets when you\'re away. It will allow you to keep tabs on things while you\'re away with event notifications and recordings stored either locally or in your youtube channel.

  • Platform: Windows
  • Publisher: Webcam Software
  • Date: 04-06-2020
  • Size: 2896 KB

UniQFace is a biometric PC access application that enables users to login to their PC by using the most advanced face recognition technology. The user's image will be captured by the webcam, matched against the registered profile and identified by the application in less than 2 seconds. UniQFace also allows the user to register up to 5 different faces or environments and track unauthorised login attempts by hijackers. It's a simple, convenient yet highly secured way to log in! >> Product Features - Multi-user Login : Allows up to 5 users to register under one Windows account, especially suited for family PCs and small businesses.

The program is designed to add authentication convenience and additional security method to the standard Windows logon procedure. It allows to access Windows computer in an easy, fast and secure way by using any Windows compatible camera. The login of the user is performed automatically once the face has been recognized by the program. Rohos Face Logon provides identification of a user by biometric verification in an automatic continuous process, based on neural network technology. Program features: * Rohos Face Logon adds convenience to your usual Windows login/password by using a web camera as a face recognition device * Easy to set up and use * Automatic login when your face is recognized * Rohos Face logon options: Hide Rohos Face Logon window; Temporary stop login by face * Last successful attempts to access the system...

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