Khalid Ounachad

ORCID: 0000-0002-1290-2015
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About
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Research Areas
  • Face recognition and analysis
  • Face and Expression Recognition
  • Biometric Identification and Security
  • Emotion and Mood Recognition
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques
  • Image and Object Detection Techniques

Université Ibn-Tofail
2018-2021

Université Moulay Ismail de Meknes
2020

Yes Technologies (United States)
2020

Face Sketch recognition has been one of the most studied topics in Forensic literature. The automatic retrieval suspect photos from mug-shot police data-base can help them, quickly reduce and deduct potential suspects, but cases, photographic image a is not available. best substitute often sketch based on memory an eyewitness or victim. Generally, this process slow really effective, it does allow to find arrest right suspect. So, stronger algorithm for even partial face be useful. Although...

10.1145/3386723.3387857 article EN 2020-03-31

This paper presents a novel method for matching of face sketch images with photo images. The basic idea is to extract perfect ratios and as features calculate the distance between them by using fuzzy hamming distance. To ratios, we use point landmarks in then sixteen will be extract. An experimental evaluation demonstrates satisfactory performance our approach on CUHK dataset. It can applied any existing sketches set. observed that proposed algorithm competitor other relative approaches....

10.1109/cist.2018.8596665 article EN 2018 IEEE 5th International Congress on Information Science and Technology (CiSt) 2018-10-01

Facial Emotion Recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic commercial potential.Nowadays, emotional factors are as classic functional aspects customer purchasing behavior.Purchasing choices decisions making result a careful analysis product advantages disadvantages affective aspects.This paper presents novel method for human emotion classification recognition.We generate seven referential faces...

10.30534/ijatcse/2020/143932020 article EN International Journal of Advanced Trends in Computer Science and Engineering 2020-06-25

10.37200/ijpr/v24i3/pr200860 article EN International Journal of Psychosocial Rehabilitation 2020-02-18

In this paper, we proposed an algorithm for detecting multiple human faces in image based on haar-like features to represent the invariant characteristics of a face. The choice relevant and more representative is divine proportions This technique, widely used world beauty, especially aesthetic medicine, allows face be divided into set specific regions according known mathematical measures. Then Adaboost learning phase. All our work Viola Jones algorithm, particular their innovative technique...

10.3991/ijoe.v17i04.19149 article EN International Journal of Online and Biomedical Engineering (iJOE) 2021-04-06

Machine learning is a subarea of artificial intelligence based on the idea that systems can learn from data and make decisions automatically.Bayes Theorem widely used in machine learning.The main objective this paper to classify gender human being their face sketch images by using golden ratio features Bayes Classifier.This presents method for classification recognition.It inspired our other model which was pre-trained same task, but with sixteen fuzzy approach.Toward end, just two will be...

10.30534/ijeter/2020/107872020 article EN International Journal of Emerging Trends in Engineering Research 2020-07-25

Structured prediction methods have become an attractive tool for many machine-learning applications. For this reason, the objective of paper is to identify gender human being by using their face sketch applying a structured learning approach. We used deep geometric descriptor as features and labels, approach matching. The basic idea extract perfect ratios feature labels are gender. To ratios, we use landmarks point in then sixteen will be extract. training testing tasks applied CUHK dataset...

10.1504/ijcvr.2020.110645 article EN International Journal of Computational Vision and Robotics 2020-01-01

The main objective of this paper is to identify the age group human being based on their face images by using a geometric feature and Levenshtein distance.This presents novel method for estimation classification.It inspired in our model which was pre-trained sketch gender classification recognition task.Toward end, we generate some referential faces suitable each decades perfect ratios four classical averages.sixteen features will be extract from input image ratio rules.The detection stage...

10.30534/ijeter/2020/52872020 article EN International Journal of Emerging Trends in Engineering Research 2020-07-25

Structured prediction methods have become an attractive tool for many machine-learning applications. For this reason, the objective of paper is to identify gender human being by using their face sketch applying a structured learning approach. We used deep geometric descriptor as features and labels, approach matching. The basic idea extract perfect ratios feature labels are gender. To ratios, we use landmarks point in then sixteen will be extract. training testing tasks applied CUHK dataset...

10.1504/ijcvr.2020.10031567 article EN International Journal of Computational Vision and Robotics 2020-01-01

In the area of Object Detection, most important step is extraction object features. One used approaches HaarLike features and Integral Image technique to integrate them. The technique, by Viola Jones, generally calculate integral a rectangular filter in an input picture. This rectilinear rectangle. We propose method rotated one any angle rotation inside image based on Bresenham algorithm drawing segment. use some pixels – called key points - that forms four segments rectangle, its Image. Our...

10.35940/ijitee.f4349.049620 article EN International Journal of Innovative Technology and Exploring Engineering 2020-04-30

Structured prediction methods have become, in recent years, an attractive tool for many machine-learning applications especially the image processing area as customers satisfaction by using facial recognition systems, criminal investigations based on face sketches recognition, aid to autistic children and so. The main objective of this paper is identification emotion human being, their expressions, applying structured learning perfect ratios. basic idea our approach extract ratios from a...

10.35940/ijeat.c6421.049420 article EN International Journal of Engineering and Advanced Technology 2020-04-30

Facial emotion recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic commercial potential.Nowadays, emotional factors are as classic functional aspects customer purchasing behavior.Purchasing choices decisions making result a careful analysis product advantages disadvantages affective aspects.This paper presents novel method for human classification recognition.We generate seven referential faces suitable each...

10.14313/jamris/4-2020/43 article EN cc-by-nc-nd Journal of Automation Mobile Robotics & Intelligent Systems 2021-03-01
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