Improvement Of Facial Recognition Accuracy Using Eye-Lids Movement And Tensorflow Model
In this research study, the performance of the real-time face recognition system with machine learning, as well as the performance of each Haarcascade classifier based on accuracy and speed were investigated. The subset of machine learning called deep learning was employed in the real-time face reco...
Saved in:
主要作者: | Sukri, Syazwan Syafiqah |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2021
|
主題: | |
在線閱讀: | http://eprints.usm.my/52727/1/SYAZWAN%20SYAFIQAH%20BINTI%20SUKRI.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Automatic And Person-Independent
Detection Of 3d Facial Expressions
Using Enhanced Support Vector
Machine With Probability Estimation
由: Abdullah, Amal Abdulaziz
出版: (2014) -
Automatic And Person-Independent
Detection Of 3d Facial Expressions
Using Enhanced Support Vector
Machine With Probability Estimation
由: Abdullah, Amal Abdulaziz
出版: (2014) -
Partial Verification Bias Correction In Diagnostic Accuracy Studies Using Propensity Score-Based Methods
由: Wan Mansor, Wan Nor Arifin
出版: (2023) -
Enhanced and automated approaches for fish recognition and classification system
由: Samma, Ali Salem Ali
出版: (2011) -
Computer Vision Techniques for Detection and Recognition of Drinking Activity
由: Tham, Jie Sheng
出版: (2016)