IMAGE COMPRESSION AND FEATURE EXTRACTION OF REAL TIME IMAGES USING DWT and SVM
Author(s):
Gurpinder Kaur , Dr. Reecha Sharma, Dr. Ranjit Kaur, Er. Bhawna Utreja
Keywords:
DWT, Image, GLCM, face, fingerprint, Haar, SVM, Biometric
Abstract
The most important part of biometric identification system becomes very trendy because all living beings have unique biometric properties and biometric recognition done robotically. Biometric ID framework is arranged into four levels that are biometric picture acquisition; include extraction, picture coordinating and choice with regards to verification. The point of element extraction strategy in picture handling is to address the picture in its conservative and exceptional kind of single qualities or network vector. Low level element extraction includes programmed extraction of components from an image without doing any handling technique. During this paper, we consider the usage of undeniable level component extraction method to explore the elements by carrying out DWT and GLCM.The compression is additionally improved and enhancement using Haar wavelet. SVM is employed for face image feature matching with compressed fingerprint image.The maximum value of PSNR is 96.8 & MSE is 0.6 and RMSE is 0.77 is produced.
Article Details
Unique Paper ID: 154725

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 248 - 256
Article Preview & Download


Share This Article

Conference Alert

NCSST-2021

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2021

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2021

Go To Issue



Call For Paper

Volume 8 Issue 4

Last Date 25 September 2021

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies