| Поиск по каталогу |
|
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Iris Recognition System. An Approach based on Log-Gabor Filter
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Nilkanth Deshpande
ISBN: 9786202564748
Год издания: 2020
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 96
Издательство: LAP LAMBERT Academic Publishing
Цена: 34186 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли экономики:Код товара: 571820
| Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
| Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
| Курьерская доставка CDEK из города Москва |
| Доставка Почтой России из города Москва |
Аннотация: Security assumes a crucial job in this day and age, where the examination is to be expanded dependent on biometric validation and recognizable proof. A biometric offers a remarkable element of the physical or conduct qualities of a person. A biometric Framework gives proof of an individual distinguishing programmed to depend on a one of a kind element or trademark controlled by the person.Log-Gabor Filter with single and four orientations is employed to get promising results.
Ключевые слова: iris recognition, Log-Gabor filter, segmentation, normalization, interclass, intraclass, FMR, FNMR
Похожие издания
 | Satish Rapaka and P Rajesh Kumar Algorithms for Efficient Segmentation of Non-ideal Iris Images. Optimization Based Segmentation Techniques For Iris Recognition System. 2024 г., 140 стр., мягкий переплет Among the biometric technologies available, the iris biometric technology is the most accurate modality, because iris complex random patterns are unique and stable, they do not change throughout a person's lifetime. The Iris recognition is based on the fact that the human iris contains unique features and even genetically identical individuals... | 43147 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии -> Операционные системы Musab Al-Rawi and Nur Azzah Abu Bakar Iris Recognition System for Windows Security.. 1905 г., 80 стр., мягкий переплет The desires the design and improve an iris recognition structure for secure access to Microsoft Windows. Involves two crucial steps: (1) image-processing facilities on the picture of an eye for data recovery. (2) Neural Systems facilities for recognition. The image transform techniques represent the steps for turning an apparent iris picture... | 28862 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Shaaban Sahmoud Enhancing Iris Recognition. Towards more secure and robust iris recognition systems. 2012 г., 108 стр., мягкий переплет In this book, we propose three techniques to increase the iris recognition robustness and accuracy. First, we propose a new segmentation algorithm to handle iris images were captured on less constrained conditions. This algorithm reduces the error percentage while there are types of noise, such as iris obstructions and specular reflection. The... | 31495 тг |
 | Отрасли знаний: Общественные науки -> Юриспруденция Younus Javed and Sadia Minhas Iris recognition system. Digital image processing. 2012 г., 108 стр., мягкий переплет The iris recognition system utilizes image processing and computer vision in order to identify human beings. Most effective algorithms are employed to gather suitable patterns from an iris image. Then, mathematical analysis is carried out for collecting required features using efficient image enhancement techniques and feature extraction... | 31495 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование -> Информационные технологии Md. Hedayetul Islam Shovon and Mohammad Munzurul Islam Iris Recognition System. Implementation of iris recognition system with different circle algorithm in iris boundary localization.. 2012 г., 76 стр., мягкий переплет In biometrics, one of the most important type of physical identification that is based on the personal and unique characteristics of the iris - the colored ring around the pupil of an eye.The whole iris recognition system using Dougman’s method is implemented here with the extended implementation of the system with four circle algorithm in iris... | 30358 тг |
 | Отрасли экономики: Промышленность в целом Ramadan M. Gad,Nawal A. El-Fishawy and Mohamed A. Mohamed Implementation of Iris Recognition System on FPGA. Principal, Design, and Implementation. 2017 г., 172 стр., мягкий переплет In this study, the research work intends to build a system prototype in a hope achieving a full iris recognition system by using a fast ASIC devices. It contains two important contributions: the first one is implementing the proposed system in software (GUI) with high accuracy rate, robust, less complexity, reliable, and fast technique. In... | 42170 тг |
 | Отрасли знаний: Точные науки -> Информатика и программирование Saeed Khorashadizadeh An Improved Hough Transform Algorithm in Iris Recognition System. . 2014 г., 140 стр., мягкий переплет The security is an important aspect in our daily life whichever the system is considered, security plays vital role. The biometric person identification technique based on the pattern of human iris is suitable to be applied to access control and provides strong e-security. Iris recognition is one of important biometric recognition approaches in... | 36278 тг |
 | Отрасли экономики: Промышленность в целом Gaganpreet Kaur Enhanced Iris Recognition System For Person Identification. . 2013 г., 72 стр., мягкий переплет In the present work, many methods are combined to build a reliable and fast method for feature extraction in iris recognition system. Reliable techniques for iris image enhancement and circle detection are used. These techniques can then be used to facilitate the further study of the statistics of iris. Also a program coding with MATLAB going... | 30216 тг |