Abstract
Identification of image is needed to facilitate the work of humans in terms of classification. The statistical method is one method often used to identify image. Identtification process in this research is a process where the images of children and adult face were used as an input for the purpose of age classification using the features of the second order. Calculated value is the value of Energy, Contrast, and Entropy. Calculation of statistical method of second order characteristics (Energy, Contrast and Entropy) is by measuring the contrast, granularity and roughness of an area of the neighborhood relations between pixels in the image. System output is to determine the input image is the image of a child or adult. The test showed that percentage of the success was 83% for images those have been in practice, while the test for images outside the training showed the percentage success rate of 67%.
Key words: image identification, age classification, image of the face, second order
Pendahuluan
Manusia mampu melakukan proses identifikasi atau pengenalan terhadap suatu pola. Pengenalan tersebut tidak bersifat statis artinya perubahan perubahan yang terjadi pada pola yang sama masih dapat dikenali sebagai pola yang benar. Hal ini dikarenakan manusia mampu melakukan proses belajar terhadap suatu pola. Sama halnya dengan wajah manusia. Wajah manusia dapat dianggap sebagai suatu pola dan pola tersebut dapat dilakukan identifikasi terhadap beberapa hal seperti, usia, suku, jenis kelamin dan lain sebagainya.
Peneliti: Mukti Qamar
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