World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , Scope Database , 

World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • WJERT New Impact Factor

    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from  5.549 to 5.924 due to high quality Publication at International Level


    SEPTEMBER 2022 Issue has been successfully launched on 1 September 2022.

  • New Issue Published

    Its Our pleasure to inform you that, WJERT 1 September 2022 Issue has been Published, Kindly check it on




Shashidhar V.* and Dr. R.Balakrishna


In real world biomedical image processing, face detection with occlusions is a state a art task for researchers to resolve the diametric issues with security due to unavailable large facial data sets and facial cuts or expressions. The evaluative of facial identity detection with occlusion issues is a revolutionary task with deployment of CNN. Face acknowledgment system consists four components like face discovery, face standardization, and face feature extraction with matching. The face recognition technique is operated in face verification, face identification as well as face watch. In face confirmation, the question face picture is contrasted versus a layout face picture whose establish is being claimed. If truth be informed recognition a concern face image is compared against all themes within the details to see the declared determine. We resolved the issue of face recognition underneath occlusions triggered by headscarf?s and also glasses. Our prepared strategy included preliminary carrying out share occlusion evaluation then acting face recognition from the no occluded regions. In contrast with previous approaches, CNN is an ideal from the system purpose of view the planning relies on the end-to-end concept and as a result the design operates straight on the picture pixels. We created large scale face occlusion information, including over ten thousand photos, with annotated facial components. In face tracking and cops work, face images square measure half-tracked as well as compared withhold on databases. Our study is targeting evaluation the varied face recognition formulas as well as explore to propose the face acknowledgment policy with its boosted performance.

[Full Text Article]