recognition

Speech Recognition HOWTO is a project that contains instructions for using speech recognition software and hardware and their use on Linux systems.

Whats New in This Release:

· Changed license information (now GFDL) and added a new publication.

Speech Recognition Plugin is a simple implementation of Speech Recognition & Speech Synthesis for REALbasic. It supports Speech Manager 1.5 or higher running on a PPC (including Mac OS X). It implements all feedback routines for cool user interaction.

Whats New in This Release:

· Added the property GetPhonemeOpcode() to get the phoneme about to be pronounced.
· Fixed a problem in which the plugin didnt work as expected under REALbasic 5.5 which could lead to a crash among other oddities.

With custom defined gestures via the SVG format, Gesture Recognition attempts to compare your hand drawings with those it knows.

Gesture Recognition will inform you of how close you come to a certain figure.

One of the main difficulties for this demo was deciding on a gesture file format. I needed something that was both easy for the neural net to learn and for the end user to create custom gestures. I concluded that SVG was perfect for the situation. Any SVG file placed in the Data/Gestures folder will be loaded on startup. So just plug your custom gestures in there.

Using the English Speech Recognition software and the proper hardware, your computer can respond to your spoken commands. English Speech Recognition includes the Speech Recognition extension and a utility program called Speakable Items.

Face Recognition System is a free utility which will verify and recognize faces.

Face Recognition System Matlab source code for face recognition. EigenFaces-based algorithm for face verification and recognition with a training stage. Matlab and Matlab Image Processing Toolbox are required.

Create your own biometric face recognition security for Windows using VC++ or VB. Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propagation algorithm with more Artificial Intelligence tools added for imaging optimization.

Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit.Face Recognition ActiveX DLL is a tool that allows you create face recognition.

WIDI Recognition System is a polyphonic Audio to MIDI converter with extended options. The main function of the program is to convert audio files into MIDI, and then to help with quick and efficient rearrangement of the converted file. The program converts CD tracks, MP3 and Wave files and automatically produces polyphonic MIDI files in seconds. In addition, WIDI Recognition System is capable of converting music on the fly, as you sing or play a musical instrument. WIDIs innovative recognition algorithms guarantee the best conversion quality ever available.

WIDI is designed for retrieving music notation from MP3 files, creating ringtones for cell phones, practicing or teaching music.

TrueTone Editor is the tool in the WIDI Recognition System Professional Edition that allows user to correct the results of automatic recognition with a visual comparison of spectrogram peaks to the notes. Users possess the options of adding and deleting musical notes, adjusting pitch and duration, and enabling playback, including synchronized play with the source audio file. Now, to enhance score readability, the TrueTone Editor in v3.2 manages bar-lines for easy positioning, addition or deletion in visual mode, or one can use the Tapping Tool, arranging bar-lines by ear. The new Editor also features time-saving functions such as Multiple Selection, so the attributes of a group of notes can be adjusted all at once, and Note Map, for fast navigation.

WIDI 3.2 supports Recognition Presets for different types of music, predefined or created by user. WIDI is now able to work with stereo-recordings - to display them and also recognize channels individually and in various combinations.
New Recognition Wizard will help you to get your first results just in a few moments after the initial start-up, and familiarizes you with the program at the same time.

Whether you are an amateur or a professional, WIDI Recognition System will help you a great deal.
Get your copy now!

Silent Shadows Voice Recognition description
Silent Shadows Voice Recognition - Launch or Shutdown your computer by voice. Silent Shadows is a voice recognition program that allows you to shutdown or restart you computer by voice.

Silent Shadows will also work with Winamp, where you can play the next track, pause and close the program.

Here are some key features of "Silent Shadows Voice Recognition":

System
· Shut down
· Restart
· log off

Command
· Open
· Delete
· Message Prompt
· Hide Voice Program
· Show Voice Program
· Dication Mode
· Macros

Winamp
· Pause/Unpause
· Next Track
· Previous Track
· Raise Volume
· Lower Volume
· Fast Forward
· close winamp

Iris Recognition System is a free software that can locate and identify the eye and iris.

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 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 ones 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.

The boundaries of the pupil and iris are defined, eyelid occlusion and specular reflection are discounted, and quality of image is determined for processing. The iris pattern is processed and encoded into a record (or "template"), which is stored and used for recognition when a live iris is presented for comparison. Half of the information in the record digitally describes the features of the iris, the other half of the record controls the comparison, eliminating specular reflection, eyelid droop, eyelashes, etc.

A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Most commercial iris recognition systems use patented algorithms developed by Daugman, and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favourable conditions, and there have been no independent trials of the technology.

The iris recognition system consists of an automatic segmentation system that is based on the Hough transform, and is able to localise the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalised into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantised to four levels to encode the unique pattern of the iris into a bit-wise biometric template.

The Hamming distance was employed for classification of iris templates, and two templates were found to match if a test of statistical independence was failed. The system performed with perfect recognition on a set of 75 eye images; however, tests on another set of 624 images resulted in false accept and false reject rates of 0.005% and 0.238% respectively. Therefore, iris recognition is shown to be a reliable and accurate biometric technology.

Here are some key features of "Iris Recognition System":

· Highly optimized code: the execution time reduced of 94%, more than 16 times faster than original code (Libor Maseks implementation)
· Matching module
· Optimized memory allocation
· Iris recognition
· Interactive and intuitive GUI
· C code included

Embedded Windows CE SAPI Developers Kit is your complete Embedded Speech Recognition or Speech To Text Circuit Solution for Development of Speech Recognition System at Electronics level.

The design is based on ISIP ASR and is Ported to Windows CE/Pocket PC/Smart Phone/ Symbian OS for Nokia Series 80 and above. With a memory overhead of 3 MB - for one sentence dictation, the engine very well fits the needs of developers looking for porting highly advanced research of ISIP ASR to the embedded world. See Windows CE Emulator Evaluation Installation for a live Experience.

WIDI Recognition System Standard tries to convert musical piece to score, i.e. Sound source file (MPEG, WAVE, CD-tracks) to MIDI file, containing notes.

Composing the necessary sophisticated algorithm is a difficult task, hence rather imperfect work of the Program.

Here are some key features of "WIDI Recognition System":

· the Program gets as input both compressed and uncompressed WAVE, MPEG Layer 1, 2 and 3 and CD tracks.
· produces multi-track volume differentiated MIDI files.
· WIDI Professional
· allows easy MIDI correcting and editing with TrueTone Editor(tm).
· allows accurate bar positioning, either manual or with Tapping Tool
· produces multiply selection and Undo/Redo operations
· uses simple harmonic model to eliminate wrong notes.
· allows automatic fine tuning to the key of source file.
· does not differentiate instruments in the source file, but allows you to
· use any instrument in the output MIDI file.
· can produce intermediate GS files for quicker operation.
· pitches to recognize are selectable ("equalizer").
· many parameters to tune up the recognition process.
· the length of input source file is unlimited.

JailHelper locates and reads linear barcode symbols in a DIB or a file.

Our toolkit supports several barcode types as:CODE 39, CODABAR, INTERLEAVED 2 OF 5, INDUSTRIAL 2 OF 5, BCD MATRIX, EAN 8, EAN 13, CODE 128, UPCE, UPCA, CODE 93.

For each barcode found the engine reports back:

Barcode string
Barcode type
Barcode location
Check-character status

Our barcode recognition library is able to process monochrome and color images. JailHelper has a number of built-in color conversion algorithms specially designed for barcode recognition.

Supported programming interfaces:

Windows DLL
Linux Shared Object SO
Java
.Net Managed Component
Mac static library
COM (soon)

Supported Operating Systems:

Windows 9x/NT/2000/XP/2003 64 bits
Linux
Mac OS X
FreeBSD
Solaris
Windows CE (soon)
Symbian ( soon )

JailHelper barcode reader toolkit supports many formats, such as: BMP, DDS, Dr. Halo files, GIF, HDR, ICO, IFF, JNG, JPEG/JIF, KOALA, LBM, Kodak PhotoCD, MNG, PCX, PBM, PGM, PNG, PPM, PhotoShop, Raw Fax G3, SGI, Sun RAS, TARGA, TIFF, WBMP, XBM, XPM,etc.