AN EXPERIMENTAL STUDY OF FACE RECOGNITION METHOD
DOI:
https://doi.org/10.51594/csitrj.v1i2.135Keywords:
Face Recognition, Wavelet TheoryAbstract
The increased use of face recognition techniques leads to the development of improved methods with higher accuracy and efficiency. Currently, there are various face recognition techniques based on different algorithm. In this study, a new method of face recognition is proposed based on the idea of wavelet operators for creating spectral graph wavelet transformation. The proposed idea relies on the spectral graph wavelet kernel procedure. In this proposed method, feature extraction is based on transformation into SGWT by means of spatial domain. For recognition purpose, the feature vectors are used for computation of selected training samples which makes the classification. The decomposition of face image is done using the SGWT. The system identifies the test image by calculating the Euclidean distance. Finally, the study conducted an experiment using the ORL face database. The result states that the recognition accuracy is higher in the proposed system which can be further improved using the number of training images. Overall, the result shows that the proposed method has good performance in terms of accuracy of the face recognitionPublished
2020-04-18
How to Cite
Pereira, P., & Kuhn, T. (2020). AN EXPERIMENTAL STUDY OF FACE RECOGNITION METHOD. Computer Science & IT Research Journal, 1(2), 52-58. https://doi.org/10.51594/csitrj.v1i2.135
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1. Authors retain the copyright and grant us (Fair East Publishing and its subsidiary journals) the right for first publication with the work licensed under a Creative Commons Attribution (CC BY) License which permits others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal. Under this license, author retains the ownership of the copyright of their content, but anyone is allowed to download, reuse, reprint, modify, distribute, and/or copy the contents as long as the original authors and source are cited. No permission is required from the publishers or authors.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (for example, publishing it as a book or submitting it to an institutional repository), with an acknowledgment of its initial publication in Fair East Publishing owned journals.
3. We encourage our authors/contributors to post their work online (such as posting it on their website or some institutional repositories) prior to and during the submission process since it produces scholarly exchange and greater and earlier citation of published work.