Short FCC and CCCto Detect Eyes and Mouth in Dofferent Image Size

Shinta Estri Wahyuningrum,Denni Afredo Suryono Hartanu

doi:10.24167/proxies.v3i1.3627

Shinta Estri Wahyuningrum, Denni Afredo Suryono Hartanu

Open Access

https://doi.org/10.24167/proxies.v3i1.3627

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Abstract

The face parts that can uses for recognition e.g eyes, mouth, nose, etc. Most of the face recognition did resampling the image to the same size. This research aim to regconize the eyes and mouth in the image with different size. For the features extraction algorithm that use is short Freman Chain Code and for the recognition use Consecutive Changing Characters algorithm. Data that use to be data training is the images that have the different size. The result of experiment shows that using adaptive Freeman Chain Code algorithm and adaptive Consecutive Changing Characters algorithm, the percentage of success rate is 60% for eyes and 75% for mouth.

Highlights

There are many phases for recognize the image
In this research Freeman Chain Code is used to determine the length and width of objects, the position of objects and the pattern of objects in the image resulting from edge detection
Besides that Freeman Chain Code is used to determine a pattern from the results of the chaincode that has been obtained based on each change in direction on the object

Summary

Introduction

There are many phases for recognize the image. Before feature extraction images need some preproccesing such as filtering, edge detection and etc. One of the processes used for early detection of faces is determining the ROI of an object [4]. The step is to thicken the non-skin area inside the face, such as the mouth and eyes using one of the morphological image processing methods namely erosion [2]. The purpose of this method is to get an object more clearly. The step to get the chaincode results is an edge detection process. 2-dimensional shape can be detected using the results of the chaincode and produce 85% of accuracy [9]. All of the above steps are carried out on training data and testing data in order to get 2 results of chaincode, where the 2 patterns will be compared similarity using the fast-matching algorithm namely Changing Consecutive Characters algorithm [7]

Methods

Results

Conclusion