Система распознавания пользователя по клавиатурному почерку; Технологии Microsoft в теории и практике программирования

Bibliographic Details
Parent link:Технологии Microsoft в теории и практике программирования.— 2016.— [С. 128-130]
Main Author: Горохова Е. С.
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Other Authors: Кочегурова Е. А. Елена Алексеевна (научный руководитель)
Summary:Заглавие с титульного экрана
This article describes the use of clustering for face recognition image. Clustering was performed using a recurrent neural network used at two stages of the recognition process. The algorithm includes the recognition process itself perform clustering pixel brightness image, calculating image information close proximity and clustering measures to in order to obtain the cluster containing the original similar images.
Language:Russian
Published: 2016
Series:Информационно-телекоммуникационные технологии. Информационная безопасность
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/33246
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=620914
Description
Summary:Заглавие с титульного экрана
This article describes the use of clustering for face recognition image. Clustering was performed using a recurrent neural network used at two stages of the recognition process. The algorithm includes the recognition process itself perform clustering pixel brightness image, calculating image information close proximity and clustering measures to in order to obtain the cluster containing the original similar images.