Optimized multimodal biometric system based fusion technique for human identification

Hamd, Muthana H.; Rasool, Rabab A.

doi:10.11591/eei.v9i6.2632

Cited by 5 publications

(4 citation statements)

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“…On the other hand, if the pixel intensity histogram is distributed throughout the histogram range, the image will have a higher contrast level. This indicator was used to assess the image enhancement methods, using a variety of illuminations for optimal performance [28], [85], [86], [105], [140], [166].…”

Section: Analysis Of the Image Enhancement Methodsmentioning

confidence: 99%

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Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

Zulkifle

Hassan

Ahmad

et al. 2021

IJEECS

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Recently, many researchers have directed their attention to methods of predicting shorelines by the use of multispectral images. Thus, a simple and optimised method using image enhancements is proposed to improve the low contrast of the Satellite pour l'Observation de la Terre-5 (SPOT-5) images in the detection of shorelines. The near-infrared (NIR) channel is important in this study to ensure the contrast of the vegetated area and sea classification, due to the high reflectance of leaves in the near infrared wavelength region. This study used five scenes of interest to show the different results in shoreline detection. The results demonstrated that the proposed method performed in an enhanced manner as compared to current methods when dealing with the low contrast ratio of SPOT-5 images. As a result, by utilising the near-infrared histogram equalization (NIR-HE), the contrast of all datasets was efficiently restored, producing a higher efficiency in edge detection, and achieving higher overall accuracy. The improved filtering method showed significantly better shoreline detection results than the other filter methods. It was concluded that this method would be useful for detecting and monitoring the shoreline edge in Tanjung Piai.

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Section: Analysis Of the Image Enhancement Methodsmentioning

confidence: 99%

“…In contrast, a multispectral image is one that contains more than one spectral channel. A simple example of a multispectral image is a colour image which contains three channels, corresponding to the red, green and blue wavelength channels of the electromagnetic spectrum [89]- [105].…”

Section: Pan-sharpening Of Spot-5 Imagesmentioning

confidence: 99%

Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

Zulkifle

Hassan

Ahmad

et al. 2021

IJEECS

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“…Furthermore, ECG signals are unique and can only be captured by direct physical contact, impenetrable from the outside and includes a liveness indication at the detection location [13]. As a result, in the future of biometric recognition, ECG-based biometrics have the potential to partially or entirely replace other existing biometrics such as vein [14][15][16], gait [17], face [18][19][20][21][22], fingerprint [23,24], and iris [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

ECG in Real World Scenario: Time Variability in Biometric Using Wearable Smart Textile Shirts

Muhammad Muizz Mohd Nawawi,

Khairul Azami Sidek,

Amelia Wong Azman

2024

ARASET

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Biomedical signals, such as an electrocardiogram (ECG), have been included in wearable platforms for biometric reasons due to the rapid expansion of apps and technology capable of gathering this physiological data. Most studies using ECG biometrics are conducted in clinical settings, which is impractical for wearable ECG-based biometric applications. Therefore, this study aims to determine the reliability of ECG signals obtained from the commercially available Hexoskin Proshirt and HeartIn Fit shirt, which may be worn for biometric verification in real-world scenarios. ECG data from 22 participants were collected over a span period of more than 30 days. The raw ECG signal is first pre-processed in the time domain using noise-removal Butterworth filters, and then a successful QRS segmented feature extraction method is used. Not to mention, 300 datasets were used to test the recommended recognition method using a Quadratic Support Vector Machine (QSVM). In comparison, around 854 datasets were prepared for training and validation of the classifier. The findings showed that the proposed method provided a considerable accuracy above 99.63 % with a FAR of 0.14 %, an FRR of 2.86 %, and a TPR of 97.14 %. Thus, the study supports using ECG biometrics for verification in real-world settings by employing a smart textile shirt with varying temporal variability.

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“…The authors proposed all in one image dehazing (AOD)-Net architecture for image dehazing [20], [21]. This end-to-end trainable network combines both global and local information for accurate dehazing.…”

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confidence: 99%

SEM and TEM images’ dehazing using multiscale progressive feature fusion techniques

Moorthy,

Tripathi,

Joshi

et al. 2024

IJEECS

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<p>We present a highly effective algorithm for image dehazing that leverages the valuable information within the hazy image to guide the haze removal process. Our proposed algorithm begins by employing a neural network that has been trained to establish a mapping between hazy images and their corresponding clear versions. This network learns to identify the shared structural elements and patterns between hazy and clear images through the training process. To enhance the utilization of guidance information from the generated reference image, we introduce a progressive feature fusion module that combines the features extracted from the hazy image and the reference image. Our proposed algorithm is an effective solution for image dehazing, as it capitalizes on the guidance information in the hazy appearance. By combining the strengths of deep learning, progressive feature fusion, and end-to-end training, we achieve impressive results in restoring clear images from hazy counterparts. The practical applicability of our algorithm is further validated by its success on benchmark data sets and real-world SEM and TEM images.</p>

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Optimized multimodal biometric system based fusion technique for human identification

Cited by 5 publications

References 0 publications

Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

Integrated NIR-HE based SPOT-5 image enhancement method for features preservation and edge detection

ECG in Real World Scenario: Time Variability in Biometric Using Wearable Smart Textile Shirts

SEM and TEM images’ dehazing using multiscale progressive feature fusion techniques

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