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Titlebook: Biometric Identification Technologies Based on Modern Data Mining Methods; Stepan Bilan,Mohamed Elhoseny,D. Jude Hemanth Book 2021 Springe

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發(fā)表于 2025-3-23 13:14:52 | 只看該作者
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發(fā)表于 2025-3-23 16:04:36 | 只看該作者
978-3-030-48380-7Springer Nature Switzerland AG 2021
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發(fā)表于 2025-3-23 21:29:00 | 只看該作者
14#
發(fā)表于 2025-3-23 23:15:14 | 只看該作者
The Political Context for Language Choice,ystem based on standard parameters is a challenging task as most of the existing systems run into problem while extracting the features that are robust to different gait challenging conditions. The three major problems with the common gait biometric systems are as follows: (1) eliminating temporal o
15#
發(fā)表于 2025-3-24 04:14:03 | 只看該作者
The Economic Context for Language Choice,s require the development and implementation of individual methods, on the basis of which a biometric identification system is developed. This work is devoted to the consideration of biometric identification issues by the keystroke dynamic. The system of biometric identification by keystroke dynamic
16#
發(fā)表于 2025-3-24 08:40:27 | 只看該作者
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發(fā)表于 2025-3-24 13:52:25 | 只看該作者
The Assistance Context for Language Choice,ided into static and dynamic features. One of the important dynamic individual characteristics of a person is gait. Many different methods are used to analyze a person’s gait. The most popular method is the video surveillance method based on processing and recognition of images represented by separa
18#
發(fā)表于 2025-3-24 17:38:48 | 只看該作者
The Assistance Context for Language Choice,Handwriting recognition is used for two tasks: determining the meaning of the text and biometric identification of the person who wrote this text. This chapter solves the problem of identifying the user from handwritten images based on cellular automata with hexagonal coating and Radon transform. He
19#
發(fā)表于 2025-3-24 22:12:04 | 只看該作者
The Assistance Context for Language Choice,images of the same scene or elaborate video frames. In the literature, we find many techniques that have been proposed for robust estimations, such as RANSAC (random sample consensus), least-squares median (LMeds), and M estimators, are exhaustive. This article presents a comparison between the diff
20#
發(fā)表于 2025-3-25 01:15:47 | 只看該作者
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