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Journal > Semesta Teknika > Metode Ekstraksi Ciri untuk Membedakan Citra Wajah Asli dan Foto Berbasis Perceptron (Perceptron-Based Feature Extraction Method for Classifying Real and Print Out Face Picture)

 

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Semesta Teknika
Vol 16, No 1 (2013): Edisi Mei
Metode Ekstraksi Ciri untuk Membedakan Citra Wajah Asli dan Foto Berbasis Perceptron (Perceptron-Based Feature Extraction Method for Classifying Real and Print Out Face Picture)
Article Info   ABSTRACT
Published date:
13 Nov 2013
 
Face is one of media for human identification. Previous studies aimed at identifying human face were for a two-dimensional images. Thus, fraud may occur when providing input in two-dimensional face images (photos). This study aims to distinguish the original three-dimensional face image with two-dimensional face image. Feature extraction based on facial geometry principles (Incomplete sentence, subject only, do not know what the authors mean). Face images (both the original and the photos) were captured at deviated angle, to the left and to the right. Each image is then sliced for each face components (eyes and nose) and sought the position of the center point of each component. Comparison between the value of the right eye-nose projection vector to the left-right eye vector and the value of the left-right eye vector become the characteristics of each image. The perceptron method was used for the classifiers. The result, the software can distinguish the original three-dimensional and two-dimensional face image with an error of 8.33% of the 24 tested images. Error occurred for some samples that show big round nose.Keywords: fraud face input, real face, face component centers, vector comparison, perceptron.PENDAHULUANIdentifikasi untuk manusia dilakukan dengan menggunakan karakteristik alami manusia sebagai basisnya kemudian dikenal sebagai biometrik. Biometrik mencakup karakteristik perilaku dan karakteristik fisiologis. Karakteristik fisiologis adalah ciri fisik yang relatif stabil seperti sidik jari, garis-garis tangan, pola wajah, pola iris, atau retina mata. Penelitian mengenai identifikasi wajah yang sudah ada antara lain identifikasi wajah dengan berbagai eksperesi (Jawad, et al., 2008), perbaikan operator-operator penting untuk identifikasi wajah (Yong, et al., 2009), identifikasi wajah dengan normalisasi pose wajah tiga dimensi (Akshay, et al., 2011), identifikasi wajah dari rangkaian gambar (Hakan dan Bill, 2011), identifikasi wajah dari video (Ognjen dan Roberto, 2012), dan deteksi wajah berdasarkan warna kulit (Sunita dan Samir, 2013). Namun jika diaplikasikan pada sistem peresensi atau yang lain, pemberian input wajah dapat dipalsukan dengan memberi citra/foto dua dimensi
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