Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/234510
Title: Framework For Human Recognition From Multi Angular Images
Researcher: Naik Rohankumar Kishorbhai
Guide(s): Lad Kalpesh B
Keywords: Computer Science
Digital image processing
Face recognition
University: Uka Tarsadia University
Completed Date: 2018
Abstract: Face recognition is an authentication process that identifies face by its earlier stored database face images. The concept of face recognition is extensively studied over the past four decades for security purpose. Face recognition is still very challenging issue in surveillance system either in known environment or in uninhibited. Application of human recognition is important requirement in prevention of any unauthorized activity or trigger events followed by human based action after successful face recognition. The majority of modus operandi utilizes face recognition method produce better performance newline newlineonly when they are provided with front facing mug shot face images. Considering these challenging issues with reference to current surveillance system, the motivation of the proposed research is on side angle face images for recognition. newlineThis thesis proposes framework of human recognition using feature based method. Feature based method is works upon individual face features rather than harmonising whole face template. The main objective of human recognition framework is identification of human having front and side view face with higher recognition efficiency. This research work mainly emphasizes on i) Human Face Detection from Single person image or Group photo, ii) Cross Face Orientation, iii) Face Feature Extraction, iv) Human Recognition by Face Feature Matching. Face Detection algorithm accumulates only face(s) region. newline newlineThe detected face is examined and if found cross, then it is processed into straight face using face rotation in face alignment component. Facial feature components like eyes, nose and mouth are extracted using basic human face template and combination of edge detection and corner detector. Feature comparison performed by comparing feature boundary s coalition in which calculation of matched points is measured. The Euclidian distance method is used for feature matching. The maximum match value is retrieved among all database images, the proposed solution decides whether human face... newline newline
Pagination: All Pages
URI: http://hdl.handle.net/10603/234510
Appears in Departments:Faculty of Computer Science

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File374.56 kBAdobe PDFView/Open
02_certificate.pdf859.67 kBAdobe PDFView/Open
03_preliminary.pdf173.49 kBAdobe PDFView/Open
04_chapter 1.pdf869.89 kBAdobe PDFView/Open
05_chapter 2.pdf1.64 MBAdobe PDFView/Open
06_chapter 3.pdf1.82 MBAdobe PDFView/Open
07_chapter 4.pdf1.99 MBAdobe PDFView/Open
08_chapter 5.pdf1.65 MBAdobe PDFView/Open
09_chapter 6.pdf2.14 MBAdobe PDFView/Open
10_conclusion.pdf1.03 MBAdobe PDFView/Open
11_future work.pdf996.35 kBAdobe PDFView/Open
12_references.pdf1.1 MBAdobe PDFView/Open
13_publications.pdf1.15 MBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: