Facial expression recognition using fuzzified Pseudo Zernike Moments and structural features

M Ahmady, SS Mirkamali, B Pahlevanzadeh… - Fuzzy Sets and …, 2022 - Elsevier
Facial expression recognition (FER) is an important part of emotional computing that can be
useful in many applications for people's behavior analysis. Recently, some methods have …

[PDF][PDF] Parking entrance control using license plate detection and recognition

MS Farag, MMM El Din… - Indonesian Journal of …, 2019 - academia.edu
There is no doubt that car parking is a very challenging and interesting topic of surveillance.
In the recent years, a lot of smart systems for parking lot access control were developed to …

Research on lip recognition algorithm based on MobileNet+ attention-GRU

Y Lu, K Li - Mathematical biosciences and engineering …, 2022 - pubmed.ncbi.nlm.nih.gov
With the development of deep learning and artificial intelligence, the application of lip
recognition is in high demand in computer vision and human-machine interaction …

A Novel Approach for Detection of Moving Objects in Complex Scenes Using Fuzzy Colour Difference Histogram

P Dewan, N Nivedita, R Kumar - International Journal of Software …, 2021 - igi-global.com
Background subtraction schematic is widely used for motion detection. For effective
automation of this process, a robust algorithm with high accuracy is needed. One of the …

An efficient hybrid PC-SIFT-based feature extraction technique for face recognition

D Ahlawat, V Nehra - International Journal of Signal and …, 2017 - inderscienceonline.com
In this investigation, an efficient hybrid approach involving phase congruency (PC) and shift
invariant feature transform (SIFT) for face recognition is presented. The present study …

Radon transform and dynamic programming for the Persian handwritten zip code recognition

J Ghasemi, MS Amiri, R Ghaderi… - International Journal of …, 2016 - inderscienceonline.com
Pattern recognition is one of the major research areas in computer sciences. Optical
character recognition (OCR) as one of the pattern recognition topics has specifically …

Overlapping group sparse denosing: a good choice for noise removal from EMG signal in intermittent masseter muscle activity

BA Savareh, GH Meftahi, A Bashiri… - International Journal of …, 2019 - inderscienceonline.com
Biological signals are often impregnated with a variety of noises. Then noise removal for
precise processing is very important. The aim of this study was to test a method …