Face Recognition with Frame size reduction and DCT compression using PCA algorithm
Face recognition has become a very important study of research because it has a variety of applications in research field such as human computer interaction, pattern recognition (PR). A successful face recognition procedure, be it mathematical or numerical, depends on the particular choice of the fe...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2021-04-01.
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| LEADER | 02238 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs22356_14799 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a vijaykumar, Padmaja |e author |
| 100 | 1 | 0 | |a NIL |e contributor |
| 700 | 1 | 0 | |a Mani, Jeevan K |e author |
| 245 | 0 | 0 | |a Face Recognition with Frame size reduction and DCT compression using PCA algorithm |
| 260 | |b Institute of Advanced Engineering and Science, |c 2021-04-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22356 | ||
| 520 | |a Face recognition has become a very important study of research because it has a variety of applications in research field such as human computer interaction, pattern recognition (PR). A successful face recognition procedure, be it mathematical or numerical, depends on the particular choice of the features used by the classifier. Feature selection in pattern recognition consists of the derivation of salient features present in the raw input data in order to reduce the amount of data used for classification. For the successful face recognition, the database images must have sufficient information so that when presented with the probe image, the recognition must be possible. Majority of times, there is always excess information present in the database images, leads higher storage, hence optimum size of the images needs to be stored in the database for good performance, are compressed with reduction in frame size and then compressed with that of the DCT. | ||
| 540 | |a Copyright (c) 2021 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a ECE | ||
| 690 | |a Frame size reduction; Database image; Interpolation; Face recognition; DCT | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 22, No 1: April 2021; 168-178 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v22.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22356/14799 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/22356/14799 |z Get fulltext |