UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 5
May-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2205C33


Registration ID:
403284

Page Number

l215-l219

Share This Article


Jetir RMS

Title

FACE DETECTION SYSTEM BASED ON COLOR TONE WITHIN IMAGE FRAME USING IMAGE PROCESSING TECHNIQUE

Abstract

In today’s digital world the major controversy is substantiate and identification. In substantiate and identification the eloquent role is face detection. In real time application face detection and skin detection becoming a challenging task. Human face detection systems have gained a considerable attention during last decade due to its vast applications in the various fields and advantages over previous biometric methods. There are many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. This project introduces a new approach to face detection systems using the skin color of a subject. This system can detect a face regardless of the background of the picture, which is an important phase for face identification. The images used in this system are color images which give additional information about the images than the gray images provide. In face detection, the two respective classes are the "face area" and the "non-face area". This new approach to face detection is based on color tone values specially defined for skin area detection within the image frame. This system first resizes the image, and then separates it into its component R, G, and B bands. These bands are transformed into another color space which is YCbCr space and then into YCbCr space (the skin color tone). The morphological process is implemented on the presented image to make it more accurate. At last, the projection face area is taken by this system to determine the face area.

Key Words

Content Based Image Retrival, Clustring, Region Based Image Retrival, CBVIR, CBIR.

Cite This Article

"FACE DETECTION SYSTEM BASED ON COLOR TONE WITHIN IMAGE FRAME USING IMAGE PROCESSING TECHNIQUE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.l215-l219, May 2022, Available :http://www.jetir.org/papers/JETIR2205C33.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FACE DETECTION SYSTEM BASED ON COLOR TONE WITHIN IMAGE FRAME USING IMAGE PROCESSING TECHNIQUE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppl215-l219, May 2022, Available at : http://www.jetir.org/papers/JETIR2205C33.pdf

Publication Details

Published Paper ID: JETIR2205C33
Registration ID: 403284
Published In: Volume 9 | Issue 5 | Year May-2022
DOI (Digital Object Identifier):
Page No: l215-l219
Country: Amravti, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000273

Print This Page

Current Call For Paper

Jetir RMS