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Paper Title: Facial Expression Recognition Method Using Hybrid DWT and Random Forest Classification
Authors Name: Rama Das , Ekta Tamrakar
Unique Id: IJRTI1809028
Published In: Volume 3 Issue 9, September-2018
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 of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 9, page no.165 - 170, September-2018, Available :http://www.ijrti.org/papers/IJRTI1809028.pdf
Downloads: 00026
Publication Details: Published Paper ID: IJRTI1809028
Registration ID:180485
Published In: Volume 3 Issue 9, September-2018
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ISSN Number: 2456 - 3315
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