IMAGE COMPRESSION AND FEATURE EXTRACTION OF REAL TIME IMAGES USING DWT and SVM

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
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