PENGENALAN WARNA BERBASIS ANDROID MENGGUNAKAN METODE TEMPLATE MATCHING

Indra Kurniawan, Nurcahyani Dewi Retnowati
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Abstract

Template matching method is a simple and widely used method to recognize patterns. The weakness of this algorithm is the limited model that will be used as a template as a comparison in the database such as shape, size, and orientation. The Extraction Feature algorithm addresses the problem of template models such as the shape, size, and orientation that exist in the matching template algorithm by mapping the characteristics of the image object to be recognized. Optical character recognition is used to translate characters into digital images into text formats. Its simple implementation makes the template matching method widely used. In this final project discusses the introduction of color in an image to be detected color, this color recognition is not fully successful because of the influence of lightness. The workings of this application take picture is by taking a picture and then the application identifies the color of any existing and will issue results in the form of text percent, with a success rate of 15% and 85% failure when detecting a color.
ANDROID的颜色识别使用匹配模板方法
模板匹配法是一种简单而广泛应用的模式识别方法。该算法的缺点是模型有限,不能作为模板在数据库中进行比较,如形状、大小和方向。特征提取算法通过映射待识别图像对象的特征,解决匹配模板算法中存在的模板模型的形状、大小、方向等问题。光学字符识别用于将数字图像中的字符转换为文本格式。它的简单实现使得模板匹配方法得到了广泛的应用。在这个final project中讨论的是在图像中引入颜色来检测颜色,由于亮度的影响,这种颜色识别并不完全成功。这个应用程序拍照的工作原理是通过拍照,然后应用程序识别任何现有的颜色,并将以文本百分比的形式发布结果,在检测颜色时成功率为15%,失败率为85%。
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