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Paper Title: Finding the criminal image with the help of Sparse Code technique
Authors Name: Soudamini S.Patil , Dattaprasad A. Torse
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Published Paper Id: IJNRD1805011
Published In: Volume 3 Issue 5, May-2018
Abstract: Abstract—Major interest of users is photos with people. Thus, for many emerging applications is an enabling technology for the exponentially growing photos, large-scale content-based face image retrieval. In this work,the aim is to improve content based face retrieval by constructing semantic code words for efficient large-scale face retrieval utilize automatically detected human attributes that contain semantic cues of the face photos. Here propose two orthogonal methods named attribute-enhanced sparse coding and attribute embedded inverted indexing to improve the face retrieval in the offline and online stages by leveraging human attributes in a systematic and scalable framework. Here investigate the effectiveness of vital factors essential for face retrieval and different attributes. Experimenting on two public datasets, the results show that the proposed methods can achieve up to 43% relative improvement compared to the existing methods.
Keywords: Sparse coding generation, Face image extraction method.
Cite Article: "Finding the criminal image with the help of Sparse Code technique", International Journal of Novel Research and Development (, ISSN:2456-4184, Vol.3, Issue 5, page no.54-58, May-2018, Available :
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