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International Journal of Scientific Development and Research - IJSDR
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Volume 4 | Issue 10

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Paper Title: Face Recognition and Retrieval across Age Using GLCM Technique
Unique Id: IJSDR1604063
Published In: Volume 1 Issue 4, April-2016
Abstract: This paper proposes an algorithm for face recognition and retrieval across the variation of age factor in human faces by making use of the Gray Level Co-occurrence Matrix (GLCM) technique. A cross age facial image dataset will be used to implement this system. A large scale celebrity image dataset called cross age celebrity dataset (CACD) is available on the Internet merely for educational and research purposes with an age invariant reference space. Feature extraction is a method by which the visual content of the images are captured for recognition and retrieval in huge databases. This paper presents how the gray level co-occurrence matrix can be used to extract the second order statistical features of an image. The texture feature of every image is extracted to perform the implementation. This method requires only a linear projection for feature encoding and is highly scalable, which is observed in the retrieval phase.
Keywords: Cross Age Face Recognition, GLCM, Texture Feature
Cite Article: "Face Recognition and Retrieval across Age Using GLCM Technique", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 4, page no.356 - 363, April-2016, Available :http://www.ijsdr.org/papers/IJSDR1604063.pdf
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Publication Details: Published Paper ID: IJSDR1604063
Registration ID:160213
Published In: Volume 1 Issue 4, April-2016
DOI (Digital Object Identifier):
Page No: 356 - 363
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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