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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Facial Expression Recognition Method Using Hybrid DWT and Random Forest Classification |
| Authors Name: | Rama Das , Ekta Tamrakar |
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| Author Reg. ID: |
IJRTI_180485
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| Published Paper Id: | IJRTI1809028 |
| Published In: | Volume 3 Issue 9, September-2018 |
| DOI: | |
| Abstract: | As the applications are getting closer to daily use and keeps a record of individual activities, the instance of accuracy about identity of an individual is largely solicited. As the face recognition have pounding benefits over other commercial algorithms and human eyes can easily analyze the output, this technique is constantly being upgraded with better algorithms and lower computation cost. The face though seems an easy object to be recognized by retina but the artificial intelligence is not yet intelligent enough to do the task easily. As the source of a face is generally an image capturing object, there are lot of variations and complexions that persists with the image like (for example: noise, rotation etc.). There are many techniques that use some or other algorithm to find similarity in face model and the test image and most of them are successful on their part to attain better test similarities. However, considering the diverse scale of applications and mode of image sourcing, a single algorithm cannot get maximum efficiency everywhere. Even after using the best algorithm for a particular task, an application has to counter with challenges of facial expression recognition. The primary objective of this research work is to analyze the Hybrid approach of Harris Corner and DWT (Discrete Wavelet Transform) features for facial expression recognition. A subspace is created by this algorithm for training of feature vectors and Random Forest classifier calculates the similarity score for performance evaluation which will provide improved results in terms of recognition accuracy. |
| Keywords: | Keywords: Confusion Matrix Plot, DWT, Harris Corner, Random Forest Classifier, Viola Jones Method. |
| Cite Article: | "Facial Expression Recognition Method Using Hybrid DWT and Random Forest Classification", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.165 - 170, September-2018, Available :http://www.ijrti.org/papers/IJRTI1809028.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1809028
Registration ID:180485
Published In: Volume 3 Issue 9, September-2018
DOI (Digital Object Identifier):
Page No: 165 - 170 Country: Kanker, Chhattisgarh, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1809028 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1809028 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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