Support vector machine based feature extraction for gender recognition from objects using lasso classifier

Journal of Big Data

Damodara Krishna Kishore Galla¹  Babu Reddy Mukamalla¹  Rama Prakasha Reddy Chegireddy² 

[1] Computer Science, Krishna University, Machilipatnam, A.P, India;Department of IT, Wollega University, Nekemte, T.R, Ethiopia;

关键词: Support vector machine;    Ridge regression;    Eleastinet;    Logistic regression;    LRGS;    Gender classification;   

DOI  :  10.1186/s40537-020-00371-0

来源: Springer

【 摘 要 】

Object detection and gender recognition were two different categories to be classified in a single section is a complicated task and this approach helps in supporting the blind people for an artificial vision. In this paper, our method to the betters vision sensation of blind persons by conversion of visualized data to audio data. Therefore this artificial intelligence model helps in detecting the objects as well as human face recognition with gender classification based on face recognition approach. This model processed with feature extraction and classification models. The feature extraction was comprised with multi scale-invariant feature transform (MSIFT), with feature optimization with support vector machine algorithm then classified using LASSO classifier. For better performance identification, three different classification models were implemented and tested too. Feature selection helps in making tests early to detect the objects and recognizing human actions using image processing approach. This approach can be applied for both offline and online modes. But in this scenario, an offline mode was implemented and was tested with a combination of different databases. For this process of classification ridge regression (RR), elastic net (EN), lasso regression (LR) and LASSO regression were implemented. The final classification results with accuracy are as follows for RR-89.6%, EN-93.5%, LR-93.2% and proposed approach (LRGS) with 98.4% accurate detection rate with prediction name of classes.

【 授权许可】

CC BY