Fast pornographic image recognition using compact holistic features and multi-layer neural network

International Journal of Advances in Intelligent Informatics

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Field Value
 
Title Fast pornographic image recognition using compact holistic features and multi-layer neural network
 
Creator Wijaya, I Gede Pasek Suta
Widiartha, Ida Bagus Ketut
Uchimura, Keiichi
Iqbal, Muhamad Syamsu
Husodo, Ario Yudo
 
Subject Pornographic image; Recognition system; Neural network; Holistik features; Frequency analysis
 
Description The paper presents an alternative fast pornographic image recognition using compact holistic features and multi-layer neural network (MNN). The compact holistic features of pornographic images, which are invariant features against pose and scale, is extracted by shape and frequency analysis on pornographic images under skin region of interests (ROIs). The main objective of this work is to design pornographic recognition scheme which not only can improve performances of existing methods (i.e., methods based on skin probability, scale invariant feature transform, eigenporn, and Multilayer-Perceptron and Neuro-Fuzzy (MP-NF)) but also can works fast for recognition. The experimental outcome display that our proposed system can improve 0.3% of accuracy and reduce 6.60% the false negative rate (FNR) of the best existing method (skin probability and eigenporn on YCbCr, SEP), respectively. Additionally, our proposed method also provides almost similar robust performances to the MP-NF on large size dataset. However, our proposed method needs short recognition time by about 0.021 seconds per image for both tested datasets.
 
Publisher Universitas Ahmad Dahlan
 
Contributor
 
Date 2019-06-20
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier http://ijain.org/index.php/IJAIN/article/view/268
10.26555/ijain.v5i2.268
 
Source International Journal of Advances in Intelligent Informatics; Vol 5, No 2 (2019): July 2019; 89-100
2548-3161
2442-6571
 
Language eng
 
Relation http://ijain.org/index.php/IJAIN/article/view/268/ijain_v5i1_p89-100
http://ijain.org/index.php/IJAIN/article/downloadSuppFile/268/60
 
Rights https://creativecommons.org/licenses/by-sa/4.0
 

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