Multi-Spectral Hybrid Invariant Moments Fusion Technique for Face Identification

Hamandi, Shaymaa M.; Rahma, Abdul Monem S.; Hassan, Rehab F.

doi:10.34028/iajit/18/3a/3

Cited by 2 publications

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“…This includes, for example, reducing detection and training time, and increasing detection accuracy. Face detection is used in numerous applications such as face enhancement [3], gender recognition, human-computer interaction system, biometric attendance, face identification [4], face verification, face recognition [5] [6], face alignment [7], face feature extraction [8][9] [10]. Face detection is a challenging task for computer vision because of the diversity of face conditions within images such as size, shape, color, direction, expression, lightning, and face occlusion by other objects such as other faces, beards, and glasses [6] [11].…”

Section: Introductionmentioning

confidence: 99%

A Review of Face Detection Methods Based on Feature Approach

2023

IJCCCE

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Face detection technology is the first and essential step for facial-based analysis algorithms such as face recognition, face feature extraction, face alignment, face enhancement, and face parsing. That is besides serving other applications related to human intention and act analysis such as facial expression recognition, gender recognition, and age classification. Face detection is used to detect faces in digital images. It is a special case of object detection and can be used in many areas such as biometrics, security, law enforcement, entertainment, and personal safety. There are various methods proposed in the field of face detection, and they all compete to make it more advanced and accurate. These methods belong to two main approaches; feature-based approach and image-based approach. This paper reviews the face detection methods that belong to the feature-based approach. Moreover, their work concepts, strengths, and limitations are mentioned. This paper concentrates on the feature-based approach due to its simplicity and high applicability in real-time detection compared to the image-based approach. Index Terms— Face Detection Methods, Feature-Based Approach, Viola-Jones Algorithm, Deformable Template Matching.

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Section: Introductionmentioning

confidence: 99%

A Review of Face Detection Methods Based on Feature Approach

2023

IJCCCE

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“…It was known for its capability of processing images extremely rapidly while achieving high detection rates [3]. Face detector is essential to almost all recent important applications based on face analysis, such as face image enhancement [4] , face recognition [5] [6], face identification [7], face verification, face alignment [8], face feature extraction [9], face emotion recognition, and gender classification. One of the popular applications used today in mobile devices is the snapchat (snapchat application apply filters to face but first it has to find the face, and this is obtained by using Viola-Jones).…”

Section: Introductionmentioning

confidence: 99%

evaluation study of face detection by Viola-Jones algorithm

Abdulhussien

Saud

2022

ijhs

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Face detection technology is an essential step in almost all face related analysis applications such as face feature extraction, face alignment, face verification, face identification, face parsing, face recognition, age recognition, and gender classification. Numerous algorithms were introduced for face detection, one of which is the Viola-Jones algorithm being introduced in 2001. This algorithm is still widely used due to its simplicity and ability of detection in real-time with relatively high accuracy and low computational power requirements compared to other recent algorithms such as deep learning based algorithms. In this paper, Viola-Jones algorithm is implemented and evaluated through different tests. And its strengths, limitations, and affecting factors are provided according to the obtained results. This paper concentrates on the algorithm limitations and the reasons of these limitations, and suggests some solutions if possible. This can help in enhancing the algorithm performance by increasing the detection accuracy or reducing the time taken for detection or training…etc.

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Multi-Spectral Hybrid Invariant Moments Fusion Technique for Face Identification

Cited by 2 publications

References 0 publications

A Review of Face Detection Methods Based on Feature Approach

A Review of Face Detection Methods Based on Feature Approach

evaluation study of face detection by Viola-Jones algorithm

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