Comparative Study of Moments Shape Descriptors and propose a new hybrid Descriptor technique

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

doi:10.1109/icicis46948.2019.9014844

Cited by 3 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Extensive studies have been proposed for face recognition, including some that used the moment invariant techniques as a robust statistical shape descriptor [3], [4]. Following are brief descriptions of them.…”

Section: Review Of Existing Methodsmentioning

confidence: 99%

Technique for recognizing faces using a hybrid of moments and a local binary pattern histogram

Ogla

Saeid

Shaker

2022

IJECE

View full text Add to dashboard Cite

<p><span>The face recognition process is widely studied, and the researchers made great achievements, but there are still many challenges facing the applications of face detection and recognition systems. This research contributes to overcoming some of those challenges and reducing the gap in the previous systems for identifying and recognizing faces of individuals in images. The research deals with increasing the precision of recognition using a hybrid method of moments and local binary patterns (LBP). The moment technique computed several critical parameters. Those parameters were used as descriptors and classifiers to recognize faces in images. The LBP technique has three phases: representation of a face, feature extraction, and classification. The face in the image was subdivided into variable-size blocks to compute their histograms and discover their features. Fidelity criteria were used to estimate and evaluate the findings. The proposed technique used the standard Olivetti Research Laboratory dataset in the proposed system training and recognition phases. The research experiments showed that adopting a hybrid technique (moments and LBP) recognized the faces in images and provide a suitable representation for identifying those faces. The proposed technique increases accuracy, robustness, and efficiency. The results show enhancement in recognition precision by 3% to reach 98.78%.</span></p>

show abstract

Section: Review Of Existing Methodsmentioning

confidence: 99%

Technique for recognizing faces using a hybrid of moments and a local binary pattern histogram

Ogla

Saeid

Shaker

2022

IJECE

View full text Add to dashboard Cite

show abstract

“…Extensive studies have been proposed for face recognition in [11], [12], some of these studies used the moment invariant techniques as a robust statistical shape descriptor [7], [13].…”

Section: Related Workmentioning

confidence: 99%

A New Hybrid Technique for Face Identification Based on Facial Parts Moments Descriptors

Hamandi¹,

Rahma

Hassan

2021

ETJ

View full text Add to dashboard Cite

Robust facial feature extraction is an effective and important process for face recognition and identification system. The facial features should be invariant to scaling, translation, illumination and rotation, several feature extraction techniques may be used to increase the recognition accuracy. This paper inspects three-moment invariants techniques and then determines how is influenced by the variation which may happen to the various shapes of the face (globally and locally) Globally means the whole face shapes and locally means face part's shape (right eye, left eye, mouth, and nose). The proposed technique is tested using CARL database images. The proposal method of the new method that collects the robust features of each method is trained by a feed-forward neural network. The result has been improved and achieved an accuracy of 99.29%.

show abstract

A New Hybrid Shape Moment Invariant Techniques for Face Identification in Thermal and Visible Visions

Hamandi

Rahma

Hassan

2020

2020 21st International Arab Conference on Information Technology (ACIT)

View full text Add to dashboard Cite

Comparative Study of Moments Shape Descriptors and propose a new hybrid Descriptor technique

Cited by 3 publications

References 15 publications

Technique for recognizing faces using a hybrid of moments and a local binary pattern histogram

Technique for recognizing faces using a hybrid of moments and a local binary pattern histogram

A New Hybrid Technique for Face Identification Based on Facial Parts Moments Descriptors

A New Hybrid Shape Moment Invariant Techniques for Face Identification in Thermal and Visible Visions

Contact Info

Product

Resources

About