Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{154725,
        author = {Gurpinder Kaur  and Dr. Reecha Sharma and Dr. Ranjit Kaur and Er. Bhawna Utreja},
        title = {IMAGE COMPRESSION AND FEATURE EXTRACTION OF REAL TIME IMAGES USING DWT and SVM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {248-256},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154725},
        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.},
        keywords = {DWT, Image, GLCM, face, fingerprint, Haar, SVM, Biometric},
        month = {},
        }