Logo Recognition: Theory and Practice (Hardcover)

Jingying Chen, Lizhe Wang, Dan Chen

  • 出版商: CRC
  • 出版日期: 2011-08-12
  • 售價: $3,330
  • 貴賓價: 9.5$3,164
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Hardcover
  • ISBN: 1439847754
  • ISBN-13: 9781439847756
  • 立即出貨 (庫存=1)

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商品描述

Used by companies, organizations, and even individuals to promote recognition of their brand, logos can also act as a valuable means of identifying the source of a document. E-business applications can retrieve and catalog products according to their logos. Governmental agencies can easily inspect goods using smart mobile devices that use logo recognition techniques. However, because logos are two-dimensional shapes of varying complexity, the recognition process can be challenging. Although promising results have been found for clean logos, they have not been as robust for noisy logos.

Logo Recognition: Theory and Practice is the first book to focus on logo recognition, especially under noisy conditions. Beginning with an introduction to fundamental concepts and methods in pattern and shape recognition, it surveys advances in logo recognition. The authors also propose a new logo recognition system that can be used under adverse conditions such as broken lines, added noise, and occlusion.

The proposed system introduces a novel polygonal approximation, a robust indexing scheme, and a new Line Segment Hausdorff Distance (LHD) matching method that can handle more distortion and transformation types than previous techniques. In the first stage, raw logos are transformed into normalized line segment maps. In the second stage, effective line pattern features are used to index the database in order to generate a moderate number of likely models. In the third stage, an improved LHD measure screens and generates the best matches. A comprehensive overview of logo recognition, the book also presents successful applications of the technology and suggests directions for future research.

商品描述(中文翻譯)

企業、組織甚至個人都使用標誌來推廣品牌認知度,標誌也可以作為識別文件來源的有價值手段。電子商務應用可以根據標誌檢索和分類產品。政府機構可以使用使用標誌識別技術的智能移動設備輕鬆檢查商品。然而,由於標誌是二維形狀,且複雜程度各不相同,識別過程可能具有挑戰性。儘管對於乾淨的標誌已經取得了有希望的結果,但對於噪音標誌的鮮明度還不夠。

《標誌識別:理論與實踐》是第一本專注於標誌識別,特別是在噪音條件下的書籍。從介紹模式和形狀識別的基本概念和方法開始,該書回顧了標誌識別的進展。作者還提出了一種新的標誌識別系統,可以在斷線、添加噪音和遮擋等不良條件下使用。

該系統引入了一種新的多邊形逼近、強大的索引方案和一種新的線段Hausdorff距離(LHD)匹配方法,可以處理比以前的技術更多的扭曲和變換類型。在第一階段,原始標誌被轉換為規範化的線段地圖。在第二階段,使用有效的線條模式特徵對數據庫進行索引,以生成一個適量的可能模型。在第三階段,改進的LHD度量篩選並生成最佳匹配。作為標誌識別的全面概述,該書還介紹了技術的成功應用並提出了未來研究的方向。