Implementation Challenges in Information Retrieval System

U. Zaki, M. Memon, D. Hakro, Khalil-ur-Rehman Khoumbati, M. Hameed, M. A. Zaki, G. Nabi
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引用次数: 3

Abstract

Natural scenes text recognition has become increasingly attractive in recent years. Several research results have been developed on different languages for the sake of text recognition from natural scenes. However, there is no system for identifying Urdu text from natural scenes. This paper presents a framework steps involved in recognition of Urdu text from landscape images. Furthermore, the paper focus on issues and challenges faced during experimentation and implementation. Challenges includes multi-script text on a single image, different text font with variation in text sizes, light shadow, reflection, text color, text contrast with background, words or ligature missing, blur, low resolution , skew and neon signboard. In the end, we also give a summary of issues and challenges of Urdu Text retrieval system from natural scenes.
信息检索系统的实现挑战
近年来,自然场景文本识别越来越受到人们的关注。为了从自然场景中识别文本,已经在不同的语言上取得了一些研究成果。然而,目前还没有从自然场景中识别乌尔都语文本的系统。本文提出了从景观图像中识别乌尔都语文本的框架步骤。此外,本文还重点讨论了实验和实施过程中面临的问题和挑战。挑战包括单个图像上的多脚本文本,文本大小变化的不同文本字体,光影,反射,文本颜色,文本与背景的对比,文字或连接缺失,模糊,低分辨率,倾斜和霓虹灯招牌。最后,总结了乌尔都语自然场景文本检索系统存在的问题和面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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