how to sign up for ebookop?
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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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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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FACE RECOGNITION BASED ON OPENCV(USING PRINCIPAL COMPONENT ANALYSIS)

INTRODUCTION
It is one of the biometric technology..
Face Recognition is the process of identification of a person by their facial image.
Face recognition approaches for still images can be broadly categorized into holistic methods and feature based methods .
Holistic methods use the entire raw face image as an input, whereas feature based methods extract local facial features and use their geometric and appearance properties.
What we ....etc

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We have already discussed the use of the first biometric, which is the face of the person trying to login to the system. However since we mentioned that using a single biometric can be quite risky, we suggest adding secondary biometric checks to the system, like the fingerprint of a person. There are many of the shelf fingerprint scanners which are quite cheap and return you the scanned image. However you will still have to write your own registration software for these scanners and which can be done by using OpenCV software. ....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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i want to do mini project of Automatic Licence Plate Recognition by using openCV and VC++. i am trying to develop and i have completed upto detection of plate successfully in some images . stuck up with OCR part for detected plates .Please help to get finish this thing .Help would be appreciated greatly. ....etc

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The new generation of OpenCV bindings for Python are getting better and better with the hard work of the community. The new bindings, called cv2 are the replacement of the old cv bindings; in this new generation of bindings, almost all operations returns now native Python objects or Numpy objects, which is pretty nice since it simplified a lot and also improved performance on some areas due to the fact that you can now also use the optimized operations from Numpy and also enabled the integration with other frameworks like the scikit-image w ....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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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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