ISSN: 2349-5162

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Published in:

Volume 4 Issue 10
October-2017
eISSN: 2349-5162

Unique Identifier

JETIR1710101

Page Number

634-637

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Title

Image Mining with Neural Networks

ISSN

2349-5162

Cite This Article

"Image Mining with Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 10, page no.634-637, October-2017, Available :http://www.jetir.org/papers/JETIR1710101.pdf

Abstract

The proposed work is based on extracting the dominating features of a set of human faces stored in the database. When a new image is fed into the system for recognition the main features are computed to find the distance between the input image and the stored images. We try to integrate the concept of artificial neural networks with the principle of data mining. A set of images are taken and trained which forms feature vector or properties for test images. Images considered are multi angled projections of facial images. Various experiments are carried out with input and output being single image or set of images with variations in facial angles. The trained images features are extracted only once and stored in database and can be reused for any test image or imageset.We finally emphasize on the importance on neural networks in the field of data mining .

Key Words

Data mining, Neural networks, feature extraction, Image classification, Training, Dataset

Cite This Article

"Image Mining with Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 10, page no. pp634-637, October-2017, Available at : http://www.jetir.org/papers/JETIR1710101.pdf

Publication Details

Published Paper ID: JETIR1710101
Registration ID: 189724
Published In: Volume 4 | Issue 10 | Year October-2017
DOI (Digital Object Identifier):
Page No: 634-637
ISSN Number: 2349-5162

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Cite This Article

"Image Mining with Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 10, page no. pp634-637, October-2017, Available at : http://www.jetir.org/papers/JETIR1710101.pdf




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