Matches in SemOpenAlex for { <https://semopenalex.org/work/W2573786821> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2573786821 abstract "A supervised facial recognition system is proposed in this paper. There are three main phases in the proposed system, namely, Preprocessing, Feature Extraction, and Classification. Cropping, choosing appropriate dimensions, and prefiltering are performed in the first phase. In the feature extraction phase, Two Dimensional Discrete Multiwavelet Transform (2D DMWT) is applied to the facial images to compact the data and extract useful information. Then, Two Dimensional Fast Independent Component Analysis (2D FastICA) is applied to the extracted features to obtain efficient features with enhanced discriminating and independent properties. Finally, the efficient features are compressed in one single column by applying l 2 -Norm. Then, the computed l 2 -Norm features are fed into a Neural Network (NN) classifier, which employs Back Propagation Training Algorithm (BPTA) for the recognition task. The proposed techniques are evaluated using four different databases, namely, ORL, YALE, FERET, and FEI that have different facial expressions, light conditions, rotations, etc. The results of the proposed system are analyzed by using K-fold Cross Validation (CV). The experimental results of the proposed techniques are shown to improve the recognition rates, computational complexity, as well as the storage requirements compared to the some of the existing approaches." @default.
- W2573786821 created "2017-01-26" @default.
- W2573786821 creator A5076915252 @default.
- W2573786821 creator A5089864173 @default.
- W2573786821 date "2016-12-01" @default.
- W2573786821 modified "2023-09-25" @default.
- W2573786821 title "Employing efficient techniques based on 2D DMWT/FastICA for supervised facial recognition" @default.
- W2573786821 cites W1989754596 @default.
- W2573786821 cites W1995664854 @default.
- W2573786821 cites W1997011019 @default.
- W2573786821 cites W2011400639 @default.
- W2573786821 cites W2033419168 @default.
- W2573786821 cites W2048247182 @default.
- W2573786821 cites W2069165391 @default.
- W2573786821 cites W2089122605 @default.
- W2573786821 cites W2099741732 @default.
- W2573786821 cites W2100864206 @default.
- W2573786821 cites W2108384452 @default.
- W2573786821 cites W2110594266 @default.
- W2573786821 cites W2134383396 @default.
- W2573786821 cites W2136477962 @default.
- W2573786821 cites W2138675138 @default.
- W2573786821 cites W2140663019 @default.
- W2573786821 cites W2141224535 @default.
- W2573786821 cites W2143601630 @default.
- W2573786821 cites W2146474141 @default.
- W2573786821 cites W2203003401 @default.
- W2573786821 cites W3104887532 @default.
- W2573786821 doi "https://doi.org/10.1109/ftc.2016.7821773" @default.
- W2573786821 hasPublicationYear "2016" @default.
- W2573786821 type Work @default.
- W2573786821 sameAs 2573786821 @default.
- W2573786821 citedByCount "2" @default.
- W2573786821 countsByYear W25737868212017 @default.
- W2573786821 countsByYear W25737868212019 @default.
- W2573786821 crossrefType "proceedings-article" @default.
- W2573786821 hasAuthorship W2573786821A5076915252 @default.
- W2573786821 hasAuthorship W2573786821A5089864173 @default.
- W2573786821 hasConcept C120317606 @default.
- W2573786821 hasConcept C127162648 @default.
- W2573786821 hasConcept C153180895 @default.
- W2573786821 hasConcept C154945302 @default.
- W2573786821 hasConcept C157709420 @default.
- W2573786821 hasConcept C31258907 @default.
- W2573786821 hasConcept C31510193 @default.
- W2573786821 hasConcept C34736171 @default.
- W2573786821 hasConcept C41008148 @default.
- W2573786821 hasConcept C50644808 @default.
- W2573786821 hasConcept C51432778 @default.
- W2573786821 hasConcept C52622490 @default.
- W2573786821 hasConcept C95623464 @default.
- W2573786821 hasConceptScore W2573786821C120317606 @default.
- W2573786821 hasConceptScore W2573786821C127162648 @default.
- W2573786821 hasConceptScore W2573786821C153180895 @default.
- W2573786821 hasConceptScore W2573786821C154945302 @default.
- W2573786821 hasConceptScore W2573786821C157709420 @default.
- W2573786821 hasConceptScore W2573786821C31258907 @default.
- W2573786821 hasConceptScore W2573786821C31510193 @default.
- W2573786821 hasConceptScore W2573786821C34736171 @default.
- W2573786821 hasConceptScore W2573786821C41008148 @default.
- W2573786821 hasConceptScore W2573786821C50644808 @default.
- W2573786821 hasConceptScore W2573786821C51432778 @default.
- W2573786821 hasConceptScore W2573786821C52622490 @default.
- W2573786821 hasConceptScore W2573786821C95623464 @default.
- W2573786821 hasLocation W25737868211 @default.
- W2573786821 hasOpenAccess W2573786821 @default.
- W2573786821 hasPrimaryLocation W25737868211 @default.
- W2573786821 hasRelatedWork W116960246 @default.
- W2573786821 hasRelatedWork W1976587345 @default.
- W2573786821 hasRelatedWork W1998636391 @default.
- W2573786821 hasRelatedWork W2010391649 @default.
- W2573786821 hasRelatedWork W2093476429 @default.
- W2573786821 hasRelatedWork W2136623514 @default.
- W2573786821 hasRelatedWork W2151053178 @default.
- W2573786821 hasRelatedWork W2156017660 @default.
- W2573786821 hasRelatedWork W2161964664 @default.
- W2573786821 hasRelatedWork W2184336706 @default.
- W2573786821 hasRelatedWork W2352103442 @default.
- W2573786821 hasRelatedWork W2532876375 @default.
- W2573786821 hasRelatedWork W2546731590 @default.
- W2573786821 hasRelatedWork W2559415596 @default.
- W2573786821 hasRelatedWork W2593189274 @default.
- W2573786821 hasRelatedWork W2594837744 @default.
- W2573786821 hasRelatedWork W2778703647 @default.
- W2573786821 hasRelatedWork W2889993369 @default.
- W2573786821 hasRelatedWork W2914391605 @default.
- W2573786821 hasRelatedWork W2982465093 @default.
- W2573786821 isParatext "false" @default.
- W2573786821 isRetracted "false" @default.
- W2573786821 magId "2573786821" @default.
- W2573786821 workType "article" @default.