首页> 外文会议>International Conference on Applied Machine Learning >Odia Character Recognition Using Curvelet Transform with DWT Feature Extraction
【24h】

Odia Character Recognition Using Curvelet Transform with DWT Feature Extraction

机译:基于Curvelet变换和DWT特征提取的Odia字符识别。

获取原文

摘要

Developing of OCR for Indian scripts is an increasing area of research. This research work is an attempt to make an OCR system for Odia characters and numbers which is official language of ODISHA. In this work we proposed a new approach for Odia character recognition using digital curvelet transform. It presents characters and numbers recognition scheme for Odia characters. The curvelet transform although heavily utilized in various areas of image processing. The curvelet coefficients of a unique picture just as its morphologically adjusted renditions are utilized to KNN classifiers. The yield estimations of these classifiers are combined utilizing a straightforward dominant part casting a ballot plan to touch base at an official choice utilizing one of a kind structure of some character we have discovered better outcome as correlation with different techniques.
机译:针对印度文字的OCR开发是一个日益增长的研究领域。这项研究工作是为Odiasha的官方语言Odia字符和数字创建OCR系统的尝试。在这项工作中,我们提出了一种使用数字Curvelet变换进行Odia字符识别的新方法。介绍了Odia字符的字符和数字识别方案。尽管曲线波变换在图像处理的各个领域都得到了广泛的利用,但它还是。唯一图片的Curvelet系数,就像其形态调整后的渲染一样,被用于KNN分类器。这些分类器的产量估算值结合起来,利用一个简单的主要部分铸造选票计划以根据官方选择使用某种特征的一种结构中的一种,根据我们的正式选择选择基础,我们发现更好的结果是与不同技术的相关性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号