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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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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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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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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kannada character segmentation code in opencv

Abstract

Data processing and management is common now a days. In this paper, automatic processing of forms written in Kannada language is considered. A suitable pre-processing technique is presented for extracting handwritten characters. Principal Component Analysis (PCA) and Histogram of oriented Gradients (HoG) are used for feature extraction. These features are fed to multilayer feed forward back propagation neural network for classification. Only 57 characters are used for recognition. Perform ....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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To get full information or details of handwritten character recognition source code please have a look on the pages

http://seminarsprojects.net/Thread-handwriting-recognition-project-report

if you again feel trouble on handwritten character recognition source code please reply in that page and ask specific fields in handwritten character recognition source code ....etc

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Abstract

This paper presents an effective approach for the offline recognition of unconstrained handwritten Chinese texts. Under the general integrated segmentation-and-recognition framework with character oversegmentation, we investigate three important issues: candidate path evaluation, path search, and parameter estimation. For path evaluation, we combine multiple contexts (character recognition scores, geometric and linguistic contexts) from the Bayesian decision view, and convert the classifier outputs to posterior probabilities via confi ....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

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To get full information or details of neural network source code arabic character recognition please have a look on the pages

http://seminarsprojects.net/Thread-digit-recognition-using-neural-network?pid=18323&mode=threaded

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