Ваш любимый книжный интернет-магазин
Перейти на
GlavKniga.SU
Ваш город: Алматы
Ваше местоположение – Алматы
 Да 
От вашего выбора зависит время и стоимость доставки
Корзина: пуста
Авторизация 
  Логин
  
  Пароль
  
Регистрация  Забыли пароль?

Поиск по каталогу 
(строгое соответствие)
ISBN
Фраза в названии или аннотации
Автор
Язык книги
Год издания
с по
Электронный носитель
Тип издания
Вид издания
Отрасли экономики
Отрасли знаний
Сферы деятельности
Надотраслевые технологии
Разделы каталога
худ. литературы

Iris Recognition System for Windows Security.

В наличии
Местонахождение: АлматыСостояние экземпляра: новый
Бумажная
версия
Автор: Musab Al-Rawi and Nur Azzah Abu Bakar
ISBN: 9786138957508
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 80
Издательство: Scholars' Press
Цена: 26823 тг
Положить в корзину
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: 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 necessary for extracting factors from the addition of eye figures in standard lighting and focusing. The standard deviation for every part in which it adopted the values for recognition using ANN techniques. Locating the iris is produced by following the darkness density of the pupil. For all structures, it stored the weights and output values in a text file to be applied again in recognition. The Backpropagation system succeeded in recognition and becoming better results.
Ключевые слова: Artificial Intelligence, Image Processing, Operating Systems
Похожие издания
Отрасли экономики: Приборостроение -> Производство электронных компонентов
Nilkanth Deshpande
Iris Recognition System. An Approach based on Log-Gabor Filter.
2020 г.,  96 стр.,  мягкий переплет
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...

31747 тг
Бумажная версия
Отрасли знаний: Точные науки -> Информатика и программирование
Vijay Kumar Sinha and Sanjay Kumar Singh
Enhancement of Security in Iris Recognition System By Luster Detection. Exploring Security Issues in Iris Recognition System with Intelligent Solutions.
2019 г.,  96 стр.,  мягкий переплет
Iris Recognition System is considered the most secure biometric identification among all. However, the existing system can be made fool by malignant users with evil intention. This book discusses and explains the possible security threats of the future Iris Recognition System as well as provides some intelligent solutions to prevent such attempts....

31747 тг
Бумажная версия
Отрасли знаний: Точные науки -> Информатика и программирование
Vijay Kumar Sinha and Anuj Kumar Gupta
Enhancing of Security and Intelligence of Iris Recognition System. .
2019 г.,  260 стр.,  мягкий переплет
Enhancing Security and Intelligence of Iris Recognition System, Vijay Kumar Sinha. Excellent work on Iris security enhancement and make this system more intelligent to prevent any fraud. Several research papers published based upon this work including SCIE and SCOPUS journals. This work took 8 years to accomplish. This book is extremely helpful to...

51125 тг
Бумажная версия
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...

39286 тг
Бумажная версия
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...

33794 тг
Бумажная версия
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...

28039 тг
Бумажная версия