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Research Article 


A Supervised learning neural network based approach for image splicing

Kavita Rathi, Parvinder Singh.

Abstract
An efficient supervised learning approach for splicing forgery detection with low classification error rates is proposed in this work. Existing Literature is analysed to produce the research gap and and PCA is used for feature extraction to make the detection process fast and intelligent. As PCA is the process of dimension reduction without eliminating the significant information from the image. Canny edge detection is used to detect strong edges in the image. . Back propagation neural networks Model for classification is trained by feeding dataset images. A benchmark dataset CASIA V2 is used for evaluating performance of proposed algorithm. The images are then tested for authenticity, whether the image is forged or authentic. Then the performance is evaluated by using parameters like precision, Recall and Mean Square Error. Proposed approach is able to increase the accuracy with low classification error rate while the existing work takes the optimal value to get their required result. Simulation results for the proposed algorithm are presented.

Key words: Neural network, image forgery detection, dataset, edge detection, feature extraction, authenticity


 
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How to Cite this Article
Pubmed Style

Kavita Rathi, Parvinder Singh. A Supervised learning neural network based approach for image splicing. EEO. 2021; 20(5): 1802-1809. doi:10.17051/ilkonline.2021.05.198


Web Style

Kavita Rathi, Parvinder Singh. A Supervised learning neural network based approach for image splicing. http://ilkogretim-online.org//?mno=60239 [Access: April 09, 2021]. doi:10.17051/ilkonline.2021.05.198


AMA (American Medical Association) Style

Kavita Rathi, Parvinder Singh. A Supervised learning neural network based approach for image splicing. EEO. 2021; 20(5): 1802-1809. doi:10.17051/ilkonline.2021.05.198



Vancouver/ICMJE Style

Kavita Rathi, Parvinder Singh. A Supervised learning neural network based approach for image splicing. EEO. (2021), [cited April 09, 2021]; 20(5): 1802-1809. doi:10.17051/ilkonline.2021.05.198



Harvard Style

Kavita Rathi, Parvinder Singh (2021) A Supervised learning neural network based approach for image splicing. EEO, 20 (5), 1802-1809. doi:10.17051/ilkonline.2021.05.198



Turabian Style

Kavita Rathi, Parvinder Singh. 2021. A Supervised learning neural network based approach for image splicing. Elementary Education Online, 20 (5), 1802-1809. doi:10.17051/ilkonline.2021.05.198



Chicago Style

Kavita Rathi, Parvinder Singh. "A Supervised learning neural network based approach for image splicing." Elementary Education Online 20 (2021), 1802-1809. doi:10.17051/ilkonline.2021.05.198



MLA (The Modern Language Association) Style

Kavita Rathi, Parvinder Singh. "A Supervised learning neural network based approach for image splicing." Elementary Education Online 20.5 (2021), 1802-1809. Print. doi:10.17051/ilkonline.2021.05.198



APA (American Psychological Association) Style

Kavita Rathi, Parvinder Singh (2021) A Supervised learning neural network based approach for image splicing. Elementary Education Online, 20 (5), 1802-1809. doi:10.17051/ilkonline.2021.05.198








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