GDL

Journal from gdlhub / 2020-01-09 11:23:18
Oleh : Holman Montiel Ariza, Henry Hernández Martínez, Luz Andrea Gaviria Roa, Telkomnika
Dibuat : 2020-01-09, dengan 1 file

Keyword : deep learning neural network, face recognition, processing images, recognition systems of patterns
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/issue/view/640
Sumber pengambilan dokumen : web

The recognition systems of patterns in images are mechanisms that filter the information that

provides an image to highlight the area of interest for the user. Usually, these mechanisms are based on

mathematical transformations that allow the processor to perform interpretations based on the geometry or

shape of the image. However, the strategies that implement mathematical transformations are limited,

since the effectiveness of these techniques is reduced by changing the morphology or resolution of

the image. This paper presents a partial solution to this limitation with a digital image processing technique

based on a deep learning neural network (DNN). This technique incorporates a mechanism that allows

the DNN to determine the facial expression of a person, based on the segmented information of the image

of their face. By segmenting the image and processing its characteristics in parallel, the proposed

technique increases the effectiveness of recognizing facial gestures in different images even when

modifying their characteristics.

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