Improved Accuracy of Face Recognition System to Identify Criminal Based on Innovative Feature Extractor to Improve Accuracy Using Deepface over LBPH Algorithm
نویسندگان
چکیده
منابع مشابه
New Adaptive UKF Algorithm to Improve the Accuracy of SLAM
SLAM (Simultaneous Localization and Mapping) is a fundamental problem when an autonomous mobile robot explores an unknown environment by constructing/updating the environment map and localizing itself in this built map. The all-important problem of SLAM is revisited in this paper and a solution based on Adaptive Unscented Kalman Filter (AUKF) is presented. We will explain the detailed algorithm...
متن کاملSupervised Feature Extraction of Face Images for Improvement of Recognition Accuracy
Dimensionality reduction methods transform or select a low dimensional feature space to efficiently represent the original high dimensional feature space of data. Feature reduction techniques are an important step in many pattern recognition problems in different fields especially in analyzing of high dimensional data. Hyperspectral images are acquired by remote sensors and human face images ar...
متن کاملFeature instructions improve face-matching accuracy
Identity comparisons of photographs of unfamiliar faces are prone to error but important for applied settings, such as person identification at passport control. Finding techniques to improve face-matching accuracy is therefore an important contemporary research topic. This study investigated whether matching accuracy can be improved by instruction to attend to specific facial features. Experim...
متن کاملUsing Critical Discourse Analysis Based Instruction to Improve EFL Learners’ Writing Complexity, Accuracy and Fluency
The literature of ELT is perhaps overwhelmed by attempts to enhance learners’ writing through the application of different methodologies. One such methodology is critical discourse analysis which is founded upon stressing not only the decoding of the propositional meaning of a text but also its ideological assumptions. Accordingly, this study was an attempt to investigate the impact of critical...
متن کاملImproved Tropical Wood Species Recognition System based on Multi-feature Extractor and Classifier
An automated wood recognition system is designed to classify tropical wood species.The wood features are extracted based on two feature extractors: Basic Grey Level Aura Matrix (BGLAM) technique and statistical properties of pores distribution (SPPD) technique. Due to the nonlinearity of the tropical wood species separation boundaries, a pre classification stage is proposed which consists ofKme...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Pharmaceutical Negative Results
سال: 2022
ISSN: ['0976-9234', '2229-7723']
DOI: https://doi.org/10.47750/pnr.2022.13.s04.051