Biometric Information Based On Distribution of Arabic Letters According To Their Outlet

Thanoon, Kifaa Hadi; Hasan, Saba Qasim; Alsaif, Omar Ibrahim

doi:10.12785/ijcds/090518

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…The images taken from the camera have noise that negatively affects the edges of the images, this noise must be eliminated and the image smoothed by using a Gaussian filter with the image. This step will reduce the volume [18]- [21]. Gaussian function is:…”

Section: Canny Methodsmentioning

confidence: 99%

Design and implementation of low-cost vein-viewer detection using near infrared imaging

Maray

Hasan²,

Mohammed³

2023

IJEECS

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There are some medicines and medical treatments that need to be injected into the human body through the blood vessels, and this requires placing the cannula in the patient’s body. The blood vessels in the human body differ from one person to another, and medical personnel face major problems in finding the blood vessels in most cases, because of The difference in skin color, where it is difficult to see the blood veins in the skin with black pigment, and it is difficult to find it in people with obesity because of the layers of fat, and in children and newborns because these veins are small. This study talks about finding a way to photograph these veins, see them by design and implementation low cost prototype used equipment that were recycled old device, such as a web camera, infrared lamps and overhead device, All of these devices are of low cost. Then process these images using binary image, histogram equalization, segmentation and threshold to detect these blood veins. The algorithms for edges images detecting are many and complex, this study used five methods to detect vein image, such as Sobel, Laplacian, Canny, Roberts, and Prewitt.

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Section: Canny Methodsmentioning

confidence: 99%

Design and implementation of low-cost vein-viewer detection using near infrared imaging

Maray

Hasan²,

Mohammed³

2023

IJEECS

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“…This classifier was used to recognize human gender gait. As indicated in (11), it determines the mean and standard deviation from the training data to apply gaussian naïve bayes classifier [32], [33] gaussian naïve bayes selects the input features with the highest probability, to determine which input features have the maximum probability. Figure 7 shows the histogram comparison between two classifiers for human gait between the two genders [34], [35],…”

Section: Gaussian Naive Bayes Classifiermentioning

confidence: 99%

Using skeleton model to recognize human gait gender

Alsaif

Hasan

Maray

2023

IJ-AI

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Biometrics became fairly important to help people identifications persons by their individualities or features. In this paper, gait recognition has been based on a skeleton model as an important indicator in prevalent activities. Using the reliable dataset for the Chinese Academy of Sciences (CASIA) of silhouettes class C database. Each video has been discredited to 75 frames for each (20 persons (10 males and 10 females)) as (1.0), the result will be 1,500 frames. After Pre-processing the images, many features are extracted from human silhouette images. For gender classification, the human walking skeleton used in this study. The model proposed is based on morphological processes on the silhouette images. The common angle has been computed for the two legs. Later, principal components analysis (PCA) was applied to reduce data using feature selection technology to get the most useful information in gait analysis. Applying two classifiers artificial neural network (ANN) and Gaussian Bayes to distinguish male or female for each classifier. The experimental results for the suggested method provided significant accomplishing about (95.5%), and accuracy of (75%). Gender classification using ANN is more efficient from the Gaussian Bayes technique by (20%), where ANN technique has given a superior performance in recognition.

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“…The science that studies sounds of a language in physical aspect without considering s functions is defined by phonology, which is concerned with the study of the sounds spoken in a language, its analysis and classified, including the manner of pronunciation, transmission and perception [9]. Most of the students in the field of phonology divided into three branches: phonological phonology, physical or acoustic phonology, and acoustic phonology, with all its characteristics and field [10], [11], need to guide students in these directions towards the possibility of pushing them towards modern technology.…”

Section: Basic Concepts In Phoneticxmentioning

confidence: 99%

Auto electronic recognition of the Arabic letters sound

Alsaif

Thanoon

Al-Bayati

2022

IJEECS

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In this research Arabic speech sounds have been studied and investigated, so as to find the distinctive features of each articulated sound. Therefore, certain Arabic sound which share certain approximate distinctive significant features have been chosen for study the ability of distinguishing among them through abstracting characteristic features for them. The signals of speech for the sounds have been recorded through the microphone which represented in a binary matrix. This procedure was implemented so as prepare these signals for processing operation through which two features for the co-occurrence matrix (contrast, energy) have been counted. The values of these features were studied and compared from one person to another to discover the certain speech sounds properties sharing certain common distinguishing features approximate in their articulation one another. The results analysis for this study gave the ability of the dependence to these features for distinguish the sound of speaker, in addition to the high ability which provided to distinguish among the arabic letters, where no connect between both co-occurrence matrix elements and the features of signaling of any arabic letters.

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Biometric Information Based On Distribution of Arabic Letters According To Their Outlet

Cited by 5 publications

References 3 publications

Design and implementation of low-cost vein-viewer detection using near infrared imaging

Design and implementation of low-cost vein-viewer detection using near infrared imaging

Using skeleton model to recognize human gait gender

Auto electronic recognition of the Arabic letters sound

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