Concluído

Image forensics - 02/01/2019 13:58 EST

Day to day Digital Image has widely increased popularity in Human life. People edit ima

software for malicious intent. This work is to identify inconsistency in an image. The paper contains different steps such preprocessing, feature extraction, and matching process, which is highlights effective use of feature extraction mechanism. Euclidean distance is exploited for matching measures. The result obtained

2x2 block size gives the best result with accuracy for automatic detection of inconsistencies in an image. Also other feature extraction patterns like LTP,ELTP also to be tested

Habilidades: Machine Learning (ML), Python

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( 0 comentários ) Bangalore, India

ID do Projeto: #18452413

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aviformat

I have many projects based on image processing, deep learning. please go through my github profile [login to view URL]

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suyashdhoot

Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Mais

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apitertsev

Hi, I have experience in image processing project with python. I usually use OpenCV and NumPy python libraries for image processing and feature extraction. Details could be discussed in the chat.

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