Paralel Spatial Pyramid Convolutional Neural Network untuk Verifikasi Kekerabatan berbasis Citra Wajah

Parallel Spatial Pyramid Convolutional Neural Network for Kinship Verification from Face Images

*Reza Fuad Rachmadi orcid scopus  -  Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
I Ketut Eddy Purnama orcid scopus  -  Department of Computer Engineering, Institut Teknologi Sepuluh Nopember, Indonesia
Received: 6 Aug 2018; Published: 31 Oct 2018.
Open Access Copyright (c) 2018 Jurnal Teknologi dan Sistem Komputer
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Section: Original Research Articles
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In this paper, we proposed a parallel spatial pyramid CNN classifier for image-based kinship verification problem. Two face images that compared for kinship verification treated as input for each parallel convolutional network of our classifier. Each parallel convolutional network constructed using spatial pyramid CNN classifier. At the end of the convolutional network, we use three fully connected layers to combine each spatial pyramid CNN features and decided the final kinship prediction. We tested the proposed classifier using large-scale kinship verification dataset, called FIW dataset, consists of seven kinship problems from 1,000 families. In our approach, we treated each kinship problem as a binary classification problem with two output. We train our classifier separately for each kinship problem with same training configuration. Overall, our proposed method can achieve an average accuracy of more than 60% and outperform the baseline method.
Keywords: image-based kinship verification; parallel spatial pyramid CNN; deep spatial pyramid features

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