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Titlebook: Iris Image Recognition; Wavelet Filter-banks Amol D. Rahulkar,Raghunath S. Holambe Book 2014 The Author(s) 2014 Directional Ordinal Wavelet

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發(fā)表于 2025-3-21 17:41:38 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Iris Image Recognition
副標(biāo)題Wavelet Filter-banks
編輯Amol D. Rahulkar,Raghunath S. Holambe
視頻videohttp://file.papertrans.cn/476/475328/475328.mp4
概述Brings together new results in wavelet filter-banks based feature extraction.Offers a compilation of basic material on the design of wavelets that otherwise requires the reading many different books a
叢書(shū)名稱SpringerBriefs in Electrical and Computer Engineering
圖書(shū)封面Titlebook: Iris Image Recognition; Wavelet Filter-banks Amol D. Rahulkar,Raghunath S. Holambe Book 2014 The Author(s) 2014 Directional Ordinal Wavelet
描述.This book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image recognition. It provides the broad treatment on the design of separable, non-separable wavelets filter banks, and the classifier. The design techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands of research (wavelets, iris image analysis and classifier). It compares the performance of the presented techniques with state-of-the-art available schemes. This book contains the compilation of basic material on the design of wavelets that avoids reading many different books. Therefore, it provides an easier path for the new-comers, researchers to master the contents. In addition, the designed filter banks and classifier can also be effectively used than existing filter-banks in many signal processing applications like pattern classification, data-compression, watermarking, denoising etc. that will give the new directions of the research in the relevant field for the readers..
出版日期Book 2014
關(guān)鍵詞Directional Ordinal Wavelet Filters; Directional Wavelet Filter-banks; Iris Image Analysis; Person Auth
版次1
doihttps://doi.org/10.1007/978-3-319-06767-4
isbn_softcover978-3-319-06766-7
isbn_ebook978-3-319-06767-4Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s) 2014
The information of publication is updating

書(shū)目名稱Iris Image Recognition影響因子(影響力)




書(shū)目名稱Iris Image Recognition影響因子(影響力)學(xué)科排名




書(shū)目名稱Iris Image Recognition網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Iris Image Recognition網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Iris Image Recognition被引頻次




書(shū)目名稱Iris Image Recognition被引頻次學(xué)科排名




書(shū)目名稱Iris Image Recognition年度引用




書(shū)目名稱Iris Image Recognition年度引用學(xué)科排名




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書(shū)目名稱Iris Image Recognition讀者反饋學(xué)科排名




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ities. Within this contribution an approach and an example for a regional eco-balance will be elucidated, related to the concept of environmental indicators of the advisory board of environmental affairs of the Federal Republic of Germany (SRU 1994). By taking on board the administration of the dist
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Amol D. Rahulkar,Raghunath S. Holambeollaboration with the Institute of Biogeography of the University of the Saarland is implementing a computer - based wildlife management system to monitor game and endangered species Main aim of this system is to monitor, analyze and visualize the distribution, the quantity and the possible chorolog
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Amol D. Rahulkar,Raghunath S. Holambeecology, economics and other related areas.Its practitioners must be prepared to work with many diverseprofessional groups. It forms the foundation for computer-assistedenvironmental protection. .This book contains an edited version of papers presented at the 3rdInternational Symposium on Environmen
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Amol D. Rahulkar,Raghunath S. Holambe claimed that experts use two complex mental processes when interpreting such data, knowledge-based reasoning and pattern recognition. It is argued that existing classification methods are inadequate and that the application of advanced computer-based techniques is vital to the realisation of the fu
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Amol D. Rahulkar,Raghunath S. Holambe claimed that experts use two complex mental processes when interpreting such data, knowledge-based reasoning and pattern recognition. It is argued that existing classification methods are inadequate and that the application of advanced computer-based techniques is vital to the realisation of the fu
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