Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis

Bui, Thi Thu Trang; Phan, Ngoc Hoang; Spitsyn, V.G.

doi:10.1109/ifost.2012.6357626

Cited by 10 publications

(4 citation statements)

References 4 publications

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“…Their approach achieved 96.20% recognition accuracy. Bui T.T.T [7] proposed a novel algorithm for face and hand gesture recognition system based on wavelet transform and principal component analysis that processes with two stages. At this stage, they extract object features using wavelet transformation and save it to the database so that they can compare this feature with PCA based extracted feature through the result.…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation and Performance Analysis of Different Hand Gesture Recognition Methods

Ahmed¹,

Hossain²,

Abadin³

2019

GJCST

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In recent few years, hand gesture recognition is one of the advanced grooming technologies in the era of human computer interaction and computer vision due to a wide area of application in the real world. But it is a very complicated task to recognize hand gesture easily due to gesture orientation, light condition, complex background, translation and scaling of gesture images. To remove this limitation, several research works have developed which is successfully decrease this complexity. However, the intention of this paper is proposed and compared four different hand gesture recognition system and apply some optimization technique on it which ridiculously increased the existing model accuracy and model running time. After employed the optimization tricks, the adjusted gesture recognition model accuracy was 93.21% and the run time was 224 seconds which was 2.14% and 248 seconds faster than an existing similar hand gesture recognition model. The overall achievement of this paper could be applied for smart home control, camera control, robot control, medical system, natural talk, and many other fields in computer vision and human-computer interaction.

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Section: Literature Reviewmentioning

confidence: 99%

Implementation and Performance Analysis of Different Hand Gesture Recognition Methods

Ahmed¹,

Hossain²,

Abadin³

2019

GJCST

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“…The use of lasers in data transmission has become relevant, requiring quick and accurate recognition of laser images 1,2 . Accurate recognition of vehicle license plates on images from road cameras is necessary to quickly identify offenders, or, for example, to timely recognize a terrorist among passengers at airports or other transportation stations 3,4,5 .…”

Section: Introductionmentioning

confidence: 99%

Structural-functional model of a parallel-hierarchical optical network as a systematic tool for artificial intelligence methods

Tymchenko,

Kokriatska,

Tverdomed

et al. 2023

Optical Fibers and Their Applications 2023

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The article discusses the challenges of real-time data processing and analyzes various methods used to solve them, with a focus on image processing. It points out the limitations of existing methods and argues for the need to use more effective and modern technologies, proposing parallel-hierarchical networks as a promising solution. The article provides a detailed description of the structural-functional model of this type of network, which involves cyclically transforming the input data matrix using a "common part" criterion and an array evolution operator until a set of individual elements is formed. The proposed model is expected to improve real-time image recognition and can potentially be applied to other fields by using the "common part" criterion.

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“…The work on the problem of personal identification based on analysis of the face images has been addressed since the early stages of the computer vision development [1,2,3]. In recent times various areas have increasing demand of prompt and correct identification of a person in a video stream.…”

Section: Introductionmentioning

confidence: 99%

Preparation of the Face Images in a Video Stream for Recognition and Filtering of Non-Informative Images

Nebaba¹,

Andreev²,

Makarov³

2015

AMM

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There have been specified the principal tasks of the image preparation for the face recognition and criteria of the image quality evaluation. There has been proposed a method of the face tracking in a video stream, a search criterion of the similar images formulated and the current estimators of the contrasting effect and image sharpness analyzed. The method of lighting compensation and the angle control method on the basis of POSIT algorithm have been studied.

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Face and hand gesture recognition algorithm based on wavelet transforms and principal component analysis

Cited by 10 publications

References 4 publications

Implementation and Performance Analysis of Different Hand Gesture Recognition Methods

Implementation and Performance Analysis of Different Hand Gesture Recognition Methods

Structural-functional model of a parallel-hierarchical optical network as a systematic tool for artificial intelligence methods

Preparation of the Face Images in a Video Stream for Recognition and Filtering of Non-Informative Images

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