Robust palmprint identification using efficient enhancement and two‐stage matching technique

Ghafoor, Mubeen; Tariq, Syed Ali; Taj, Imtiaz A.; Jafri, Noman; Zia, Tehseen

doi:10.1049/iet-ipr.2018.5736

Cited by 5 publications

(11 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The premise of the smooth execution of the Ethereum smart contract must be that the content of the compiled contract cannot be changed, and the process of execution must be open and transparent, and the whole process can be traced [15]. Combined with the features of decentralization, immutability, common maintenance, and traceability in blockchain technology, it forms a natural symbiotic environment with smart contracts.…”

Section: Ethereum Ethereum Is a Decentralized Applicationmentioning

confidence: 99%

International Logistics Management System Based on Cloud Computing Technology

Fan

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In order to solve the problems of slow matching between supply and demand, information authenticity and security, and lack of trust in traditional logistics platforms, the author proposes an international logistics management system based on cloud computing technology. The system uses blockchain as the underlying technology, combined with related technologies such as smart contracts and NSGA-II algorithms, matches the supply and demand sides of cross-border logistics resources, writes the important information generated in the platform transaction into the blockchain, and carries out network-wide broadcast and consensus, so as to realize the intelligence of the transaction and the nontampering and traceability of the information. The experiment found that in the case set by this example, max Z 1 = 57.139 , and max Z 2 = 54.679 , meaning that the final matching result is as follows: P2, the cross-border logistics provider, is matched with U5, the consignor; P3 matches U9, P8 matches U4, P9 matches U3, P1 matches U6, P5 matches U1, P7 matches U2, P4 matches U7, P10 matches U8, and P8 matches U10. Satisfactory matching results show that the algorithm is effective. Experimental results show that the system can increase the transparency and sharing of cross-border logistics information, help to reduce forged data information, improve the level of automation and intelligence, and provide a reference for the application of blockchain technology in the field of cross-border logistics.

show abstract

Section: Ethereum Ethereum Is a Decentralized Applicationmentioning

confidence: 99%

International Logistics Management System Based on Cloud Computing Technology

Fan

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Enhancement filters which are usually Gabor filters or other contextual filters, need to adapt their orientation and width according to local ridge orientation and frequency respectively. Filtering can be applied in spatial domain [8,16,19,21,35,44] or frequency domain [9,17]. In spatial domain, filtering is applied pixel wise, where filter orientation and width are adapted to ridge pattern in a small area centred at a pixel (x, y).…”

Section: Gradient Based Techniquesmentioning

confidence: 99%

“…ROI segmentation techniques are usually based on identifying textural differences [19] in the image. Block range filtering has also been used in ROI segmentation for fingerprints [14].…”

Section: Related Workmentioning

confidence: 99%

“…For palmprint enhancement, gradient-based contextual filtering techniques are by far the most popular choice which make use of ridge orientation estimated through gradient based techniques. Contextual filtering techniques were initially designed for fingerprints [9,16,17,21] which were later improvised for palmprints [8,19,44]. These techniques are applied pixel wise and are computationally inefficient when applied on palmprints.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Palmprint enhancement network (PEN) for robust identification

Mehmood

Taj

Ghafoor

2023

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

Despite being reliable, palmprints have not received as much attention as other biometrics such as fingerprints, face or iris. Amount of information provided by high resolution palmprints and the fact that they have huge forensic value makes them a preferred biometric choice for large scale identification systems. In palmprints, extraction of reliable features for identification is still a challenging task especially because most of palmprints found in the real world, e.g., in crime scenes, are of poor quality. This makes palmprint enhancement a crucial pre cursor to identification. Errors during enhancement result in extraction of un-reliable features which deteriorate identification accuracy. Recent works in palmprints have focused more on matching algorithms and limited novelty has been introduced in enhancement. Enhancement techniques used on high resolution palmprints recently are either borrowed from fingerprint techniques or are built on the high-risk assumption that palm ridge pattern is stationary or smooth in a local area. Large size and abruptly changing ridge pattern of palmprints dictates the need for a more robust enhancement scheme. This paper proposes a novel deep learning based high resolution palmprint enhancement approach that is able to process large areas of palmprint without making the assumption that underlying ridge pattern is stationary. We have tested proposed enhancement approach on a renowned high resolution palmprint dataset which shows that proposed technique performs favourably in comparison to state of the art.

show abstract

“…Before designing the low-light image weak signal enhancement algorithm, extract the weak signal of the image, apply the mathematical model and other techniques to plan the image edge data into a set of multi-dimensional data structure [13], and then use the random process of the data and the feedback in the artificial neural network. The mechanism divides the weak signal of the image into functional regions and non-functional regions [14], and its noise function expression is as follows:…”

Section: A Weak Signal Detection Of Weak Signal In Image Based On Art...mentioning

confidence: 99%

A Neural Network-Based Algorithm for Weak Signal Enhancement in Low Illumination Images

Yin¹,

Li²

2022

IJACSA

View full text Add to dashboard Cite

There is noise interference in low-illumination images, which makes it difficult to extract weak signals. For this reason, this paper proposes a low-illumination image weak signal enhancement algorithm based on neural network. Multi-scale normalization is performed on low-light images, and multi-scale Retinex is used to enhance weak signals in low-light images. On this basis, the GAN artificial neural network is used to detect the weak signal of the weak signal in the image, the normalization of the weak signal of the low-illumination image is completed based on the residual network, the self-encoding parameters of the depth residual are generated, and the weak signal enhancement result of the low-illumination image is output. The experimental results show that the method in this paper has better enhancement effect on low-illumination images and better image denoising effect. When the scale value is large, the low-contrast area of the low-illumination image has a better enhancement effect. The saturated area of the low-light image has a better enhancement effect.

show abstract

Robust palmprint identification using efficient enhancement and two‐stage matching technique

Cited by 5 publications

References 30 publications

International Logistics Management System Based on Cloud Computing Technology

International Logistics Management System Based on Cloud Computing Technology

Palmprint enhancement network (PEN) for robust identification

A Neural Network-Based Algorithm for Weak Signal Enhancement in Low Illumination Images

Contact Info

Product

Resources

About