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gesture recognition


Posted by: shruthi k s
Created at: Friday 26th of March 2010 02:41:43 PM
Last Edited Or Replied at :Wednesday 31st of March 2010 07:17:18 AM
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i need report and ppt on gesture re..................[:=> Show Contents <=:]



FACE RECOGNITION USING ARTIFICIAL NEURAL NETWORKS


Posted by: Computer Science Clay
Created at: Sunday 01st of March 2009 02:04:09 AM
Last Edited Or Replied at :Monday 06th of February 2012 01:32:32 AM
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l knowledge next time. This biologically inspired method is being touted as the wave of the future in computing, relieving the programmer from the cubicle of traditional algorithmic problem solving. Inherent non-linearity property of Neural Networ..................[:=> Show Contents <=:]



AI for Speech Recognition


Posted by: Computer Science Clay
Created at: Saturday 28th of February 2009 11:31:43 PM
Last Edited Or Replied at :Tuesday 22nd of March 2011 11:08:09 PM
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input and translate it into text that an application understands. The application can then do one of two things:The application can interpret the result of the recognition as a command. In this case , the application is a command and control application. If an application handles the recognized text simply as text, then it is considered a dictation application.
The user speaks to the computer through a microphone, which in turn, identifies the meaning of the words and sends it to NLP device for further processing. Once recognized, the words can be used in a variety of applications like displa..................[:=> Show Contents <=:]



Face Recognition using the Techniques Base on Principal Component Analysis PCA


Posted by: computer science crazy
Created at: Monday 23rd of February 2009 12:51:20 PM
Last Edited Or Replied at :Monday 04th of March 2013 01:51:53 AM
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Although, other identification methods such as Fingerprints or Iris recognition are currently in use, face recognition has its own application. Principal Component Analysis (PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear Discriminant (FLD), Face Specific Subspace (FSS) will be discussed. We will review the developed idea used in the 2D-PCA method and its application on the FSS approach. For the experimental results, several tests have been performed over on three ..................[:=> Show Contents <=:]



FACE RECOGNITION USING Neural Network


Posted by: computer science crazy
Created at: Saturday 21st of February 2009 11:11:21 AM
Last Edited Or Replied at :Monday 06th of February 2012 01:32:50 AM
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formance than the
eigenfaces approach on the database considered as the number of
images per person in the training database is varied from 1 to 5. With
5 images per person the proposed method and eigenfaces result in 3.8%
and 10.5% error respectively. The recognizer provides a measure of
confidence in its output and classification error approaches zero when
rejecting as few as 10% of the examples. We use a database of 400
images of 40 individuals which contains quite a high degree of
variability in expression, pose, and facial details. We analyze
computational complexity and dis..................[:=> Show Contents <=:]



GESTURE RECOGNITION


Posted by: seminar projects crazy
Created at: Friday 30th of January 2009 01:22:38 PM
Last Edited Or Replied at :Monday 18th of February 2013 11:58:14 PM
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gesture recognition systems using computer vision techniques may be useful in many contexts, including non-obtrusive human computer interfaces. For such environments, it is important that the systems are easily trained and fast enough to support interactive behavior...................[:=> Show Contents <=:]



Artificial Neural Network ANN


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 11:30:39 PM
Last Edited Or Replied at :Sunday 21st of September 2008 11:30:39 PM
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ear to be a recent development. However, this field was established before the advent of computers, and has survived several eras. Many important advances have been boosted by the use of inexpensive computer emulations. The first artificial neuron was produced in 1943 by the neurophysiologist Warren McCulloch and the logician Walter Pitts.

There were some initial simulations using formal logic. McCulloch and Pitts (1943) developed models of neural networks based on their understanding of neurology. These models made several assumptions about how neurons worked. Their networks were based on..................[:=> Show Contents <=:]



An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Trans


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 01:06:40 AM
Last Edited Or Replied at :Saturday 09th of March 2013 05:46:32 AM
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trols takes a giant step forward.

BIOMETRICS-AN OVERVIEW:
Biometrics is best defined as measurable physiological and/or behavioral characteristics that can be utilized to verify the identity of an indivisual. They include the following:
Iris scanning
Facial recognition
Fingerprint verification
Hand geometry
Retinal scanning
Signature verification
Voice verification

ADVANTAGES OF THE IRIS IDENTIFICATION:
Highly protected internal organ of the eye.
Iris patterns possess a high degree of randomness.
Variability: 244 degrees of freedom.
Entropy: 3.2 bits pe..................[:=> Show Contents <=:]



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