widi recognition system professional
Iris Recognition System 1
Iris Recognition System Matlab Source Code. The iris of each eye is unique. No two irises are alike in their mathematical detail--even between identical twins and triplets or between ones own left more>>
Iris Recognition System 1 is created as a professional mathematics related tool. Iris Recognition System Matlab Source Code. The iris of each eye is unique. No two irises are alike in their mathematical detail--even between identical twins and triplets or between one's own left and right eyes. Unlike the retina, however, it is clearly visible from a distance, allowing easy image acquisition without intrusion.
The iris remains stable throughout one's lifetime, barring rare disease or trauma. The random patterns of the iris are the equivalent of a complex human barcode, created by a tangled meshwork of connective tissue and other visible features. The iris recognition process begins with video-based image acquisition that locates the eye and iris. Matlab Image Processing Toolbox is required.
Writer Recognition System 1
Writer Recognition System provides you with a sophisticated product that research in automatic writer identification has primarily focused on the statistical approach. more>> <<less
Speech Recognition System 1
Transform words pronounced by human into electronic text or commands. more>>
Speech Recognition System 1 is a utility used to transform words into electronic text or commands. It is for speech recognition. Available on request protected P-files for performance evaluation.Speech recognition provides the possibility of converting words pronounced by human into electronic text or commands. Matlab and Matlab Signal Processing Toolbox are required. The package includes Windows MEX files.
License:Freeware
Palmprint Recognition System 1
Palmprint Recognition System comes as a practical and high quality utility for palmprint recognition. more>>
Palmprint Recognition System 1 comes as a practical and high quality utility for palmprint recognition. Palmprint Recognition System - Matlab Source Code. In the field of biometrics, palmprint is a novel but promising technology. Limited work has been reported on palmprint identification and verification, despite the importance of palmprint features.
There are many unique features in a palmprint image that can be used for personal identification. Principal lines, wrinkles, ridges, minutiae points, singular points, and texture are regarded as useful features for palmprint representation.
Requirements:
- Windows 95/98/Me/NT/2000/XP/2003 Server/Vista
- Matlab 6.5
Face Recognition System 2.0
Face Recognition System. Matlab source code for face recognition. Eigenfaces for face recognition. Index terms: Face recognition, face matching, eigenfaces, eigenvalues, face verification, matlab code more>>
Face Recognition System. Matlab source code for face recognition. Eigenfaces for face recognition. Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index terms: Face recognition, face matching, eigenfaces, eigenvalues, face verification, matlab code, eigenvectors, Karhunen-Loeve algorithm.
Requirements: Matlab, Matlab Image Processing Toolbox
<<lessSpeaker Recognition System 1
Speaker recognition is the process of automatically recognizing. more>> Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves. This technique makes it possible to use the speakers voice to verify their identity and control access to services such as voice dialing, banking by telephone, telephone shopping, database access services, information services, voice mail, security control for confidential information areas, and remote access to computers.<<less
Fingerprint Recognition System 5.1
Fingerprint Recognition System is a free tool that will recognize and verify fingerprints more>>
With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to extract automatically.
The widely used minutiae-based representation does not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures cannot be completely characterized by minutiae. Further, minutiae-based matching has difficulty in quickly matching two fingerprint images containing different number of unregistered minutiae points. The proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details in a fingerprint as a compact fixed length FingerCode.
The fingerprint matching is based on the Euclidean distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms published in the open literature. Our system performs better than a state-of-the-art minutiae-based system when the performance requirement of the application system does not demand a very low false acceptance rate. Finally, we show that the matching performance can be improved by combining the decisions of the matchers based on complementary (minutiae-based and filter-based) fingerprint information.
Index Terms: Biometrics, FingerCode, fingerprints, flow pattern, Gabor filters, matching, texture, verification.
The localization of core point represents the most critical step of the whole process. A good matching requires an accurate positioning, so the small errors must also be avoided. The usage of complex filtering techniques, can greatly improve accuracy. On the other side, for very poor quality input images, a traditional algorithm can fail even using a hierarchical approach with a multiscale filtering.
Main features:
- An improved algorithm used in fingerprint matching, highly recommended for high-performance applications
- A generalized and optimized version of the algorithm for core point localization
- Improved database
- Demo code (protected P-files) available for performance evaluation
- 5.0 2005.05.15 The merging technique is greatly improved. This new algorithm was tested on FVC2004 training fingerprint images. Test results are available on request. Please email me in order to obtain them.
- Parameters for image segmentation are estimated automatically
- An improved algorithm is used when the rotated FingerCode is added to database. Now this procedure does not introduce any additional noise
- A faster fingerprint image acquisition when a new fingerprint image is added to database
- Implementation of 1D and 2D recursive Gabor filtering
- Optimized pixel-wise orientation field estimation ( 80% faster than Release 4.0 )
- List of fingerprint databases available on the web
- 4.0 2005.03.21 An improved algorithm for core point detection, based on a novel hybrid technique
- A better fingerprint segmentation which makes use of morphological operations (binary erosion and dilation)
- Exhaustive documentation of the implemented algorithms
- Improved GUI
- Better error management
- Image enhancement
- Orientation field estimation
- 3.0 2004.06.22 Major bugs fixed
- New GUI
- Complex filtering techniques
- Improved core point determination
- Robustness against noise
- Modifiable simulation parameters
- 2.0 2003.11.29 New GUI
- 8 Gabor filters 0 22.5 45 67.5 90 112.5 135 157.5 degrees
- Convolution is performed in frequency domain
- DataBase
- Fingerprint matching
- Error management
Facial Expression Recognition System 1
Analyze facial expressions. more>>
Facial Expression Recognition System 1 is a powerful tool that you propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). This approach results extremely powerful because it does not require the detection of any reference point or node grid. The proposed method is fast and can be used for real-time applications.
Major Features:
- Facial Expression Recognition based on Neural Networks
- PCA-based dimensionality reduction
- High recognition rate
- Intuitive GUI
- Easy C/C++ implementations
- Demo code (protected P-files) available for performance evaluation
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Speech Recognition Based on DTW 1
Speech Recognition Based on DTW proves itself to be a reliable and helpful tool that can be used for speech recognition with the help of DTW - Matlab source code. more>> <<less
Hybrid Iris Recognition 1.0
Hybrid Iris Recognition is an advise mathematic program for Windows. The use of biometric signatures, instead of tokens such as identification cards or computer passwords, more>>
Hybrid Iris Recognition 1.0 is an advise mathematic program for Windows. The use of biometric signatures, instead of tokens such as identification cards or computer passwords, continues to gain increasing attention as an efficient means of identification and verification of individuals for controlling access to secured areas, materials, or systems and a wide variety of biometrics has been considered over the years in support of these challenges. Iris recognition is especially attractive due to the stability of the iris texture patterns with age and health conditions. Iris image segmentation and localisation is a key step in iris recognition and plays an essential role the accuracy of matching.
HotHTML 3 Professional 1.6.3389
A powerful and yet easy to use HTML/Text Editor, full of useful everyday tools and utilities to make life easier for web, windows, java and .NET developers. Try a 30 day evaluation today! more>> <<less
Apnajhelum Professional 2002
Apnajhelum Professional 2002 is designed as a smart and useful utility to chat on IRC. more>>
Apnajhelum Professional 2002 is designed as a smart and useful utility to chat on IRC. Basically it's for DALNET irc NETWORKS. but it works on almost all SERVERS of IRC. No bugs at the time of release and best of all is that power and entertainment united.
Babya System Profiler Professional 2008 1.0.0
Babya System Profiler Professional gathers software and hardware informations from your computer. more>>
Babya System Profiler Professional can gather over 220 pieces of information about computers and store this information in a database.
It can be run locally or can be used by an administrator to scan a network.
Unlike many other free system inventory/info tools, Babya System Profiler can be used over a network.
Main features:
- Quick PC details overview with the view SOS:System Profiler Summary
- Uses a Access database to store all details
System requirements:
- NET Framework 2.0 or later
Face Recognition Based on Statistical Moments 1
Face Recognition Based on Statistical Moments appears as an innovative and efficient utility for face recognition that combines Centralised moments, Normalised moments, Hu invariant moments, and Legendre moments. more>> <<less
AIDA32 - Enterprise System Information 3.61
Everything you want to know about your computer: freeware tool AIDA32 delivers complete system information, diagnostics, benchmark and network audit solutions. Analyze the profile of your PC on the sc more>>
