to get information about the topic character recognition using neural network full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-optical-character-recognition-using-neural-networks?pid=54739&mode=threaded

http://seminarsprojects.net/Thread-character-recognition-using-artificial-neural-network

http://seminarsprojects.net/Thread-optical-character-recognition-using-neural-networks ....etc

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Finger Detection for Sign Language Recognition



Abstract

Computer recognition of sign language is an
important research problem for enabling communication with
hearing impaired people. This paper introduces an efficient and
fast algorithm for identification of the number of fingers opened
in a gesture representing an alphabet of the American Sign
Language. Finger Detection is accomplished based on the
concept of Boundary Tracing and Finger Tip Detection.

INTRODUCTION

The long-term goal ....etc

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hi, i need the source code for traffic light system using neural network for my project. do email me at [email protected] ....etc

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Traffic Sign Recognition (TSR) is a driver support function which can be used to notify and warn the driver which restrictions may be effective on the current stretch of road. Examples for such regulations are speed limit zones or no-overtaking indications. The system can help the driver to maintain a legal speed, obey local traffic instructions, or urban restrictions.
The system recognizes and interprets various traffic signs, both fixed signs on the road side and variable LED signs overhead, using vision-only information and therefore si ....etc

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i would like to get a copy of seminar report or the ppt of the topic digital recognition using neural networks ....etc

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To get full information or details of traffic sign recognotion using neural networks using C++ please have a look on the pages

http://bartlabDr.%20Jackrit's%20Papers/ney/1.TRAFFIC_SIGN_Lorsakul_ISR.pdf

if you again feel trouble on traffic sign recognotion using neural networks using C++ please reply in that page and ask specific fields in traffic sign recognotion using neural networks using C++ ....etc

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Abstract
Handwriting number recognition is a challenging problem that researchers have been bogging into for many years. The need for this arises in situations like checks in banks or recognizing numbers in car plates. There is a lot of need for a system that to let the computer understand the Arabic numbers that is written manually and also handles it like digital data. Methods like minimum distance,
decision tree and statistics have been developed by many researchers. The proposed system starts by acquiring an image containing digits ....etc

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To get full information or details of handwritten english character recognition using neural network please have a look on the pages

http://seminarsprojects.net/Thread-character-recognition-using-artificial-neural-network

http://seminarsprojects.net/Thread-character-recognition-in-a-hand-written-document-image

if you again feel trouble on handwritten english character recognition using neural network please reply in that page and ask specific fields ....etc

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Traffic Sign Recognition (TSR) is used to regulate traffic signs, warn a driver, and command or
prohibit certain actions. Fast real-time and robust automatic traffic sign detection and recognition
can support and disburden the driver and significantly increase driving safety and comfort.
Automatic recognition of traffic signs is also important for an automated intelligent driving vehicle
or for driver assistance systems. This paper presents a study to recognize traffic sign patterns using
Neural Network technique. Images are pre-processed ....etc

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FACE RECOGNITION USING Neural Network
ABSTRACT
Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult . We present a hybrid neural network solution which compares favorably with other methods. The system combines local image sampling, a self-organizing map neural network, and a convolutional neural network. The self-organizing map provides a quantization of the image samples into a topological space where inputs that are nearby in the original space are als ....etc

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