Efficient Rectification of Distorted Fingerprints

Gu, Shan; Feng, Jianjiang; Lu, Jiwen; Zhou, Jie

doi:10.1109/tifs.2017.2745685

Cited by 22 publications

(15 citation statements)

References 18 publications

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“…Hough transform (HT) is considered as a powerful tool in well-defined line-feature detection. [45] achieved a fingerprint identification with HT. However, HT can only track the direction of edges, and the length information of the line segment is lost, not to mention the operation complexity.…”

Section: Spectrum-based Methodsmentioning

confidence: 99%

Using optical flow algorithm based on dynamic illumination mode to examine defects on highly reflective turbine blade surface

Shang

Song

Chen

et al. 2022

IET Image Processing

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Notion of optical flow literally refers to the displacements of intensity patterns. In that sense, extracting interested information from 2D scene is analogy to modulation/demodulation in random signal processing. To address the limitations presented in computer vision based on static image, we propose a novel metal component defect detection method, specified as the instance of turbine blade surface detection, using optical flow estimation.To start the specified pattern recognition in 2D presentation, we modulate the brightness constancy assumption equation as illumination varying model, by sampling the second image with function whose frequency was chosen according to the Nyquist sampling theorem, and a sinusoidal factor was introduced as an additive factor. This tunable channel based on 2D image transfers intensity features into optical modes. Then, we implement optical flow estimation on two sequential images. Experimental results reveal grayscale space shows completness in representing the optical modes of turbine blade with various kinds of surface characteristics. By modifying the index of information content, we propose quantitative index to evaluate the performance of our method. Evaluation reveals optical flow algorithm is qualified to examine defects on highly reflective turbine blade, and our method extends the application of optical flow.

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Section: Spectrum-based Methodsmentioning

confidence: 99%

Using optical flow algorithm based on dynamic illumination mode to examine defects on highly reflective turbine blade surface

Shang

Song

Chen

et al. 2022

IET Image Processing

View full text Add to dashboard Cite

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“…Hough transform (HT) [83] is considered as a powerful tool in well-defined line-feature detection. Its applications can be found in fingerprint identification [84,85] and vehicle license plate recognition [86]. Interestingly, Sharifzadeh et al [20] applied HT to detect defects of holes, scratches, coil breaks and rusts on cold-rolled steel strips.…”

Section: ) Hough Transformmentioning

confidence: 99%

Automated Visual Defect Detection for Flat Steel Surface: A Survey

Luo

Fang

Liu

et al. 2020

IEEE Trans. Instrum. Meas.

340

111

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Automated computer-vision-based defect detection has received much attention with the increasing surface quality assurance demands for the industrial manufacturing of flat steels. This paper attempts to present a comprehensive survey on surface defect detection technologies by reviewing about 120 publications over the last two decades for three typical flat steel products of con-casting slabs, hot-and cold-rolled steel strips. According to the nature of algorithms as well as image features, the existing methodologies are categorized into four groups: Statistical, spectral, model-based and machine learning. These literatures are summarized in this review to enable easy referral to suitable methods for diverse application scenarios in steel mills. Realization recommendations and future research trends are also addressed at an abstract level.

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“…The study confirmed that the size of the impression increases with increasing pressure while the impression quality varies differently on the different surfaces. Moreover, Gu et al [31] proposed a fingerprint rectification system that estimates the center and the direction of the fingerprint, then it detects the distorted fingerprint, discovers the distorted pattern, and applies image transformation. Although this method proved a significant enhancement in the speed, the authors revealed some limitations related to the accuracy of pose estimation.…”

Section: Previous Studies On Fingerprint Pressurementioning

confidence: 99%

The Impact of Pressure on the Fingerprint Impression: Presentation Attack Detection Scheme

2021

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Fingerprint recognition systems have been widely deployed in authentication and verification applications, ranging from personal smartphones to border control systems. Recently, the biometric society has raised concerns about presentation attacks that aim to manipulate the biometric system’s final decision by presenting artificial fingerprint traits to the sensor. In this paper, we propose a presentation attack detection scheme that exploits the natural fingerprint phenomena, and analyzes the dynamic variation of a fingerprint’s impression when the user applies additional pressure during the presentation. For that purpose, we collected a novel dynamic dataset with an instructed acquisition scenario. Two sensing technologies are used in the data collection, thermal and optical. Additionally, we collected attack presentations using seven presentation attack instrument species considering the same acquisition circumstances. The proposed mechanism is evaluated following the directives of the standard ISO/IEC 30107. The comparison between ordinary and pressure presentations shows higher accuracy and generalizability for the latter. The proposed approach demonstrates efficient capability of detecting presentation attacks with low BPCER where BPCER is 0% for an optical sensor and 1.66% for a thermal sensor at 5% APCER for both.

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Efficient Rectification of Distorted Fingerprints

Cited by 22 publications

References 18 publications

Using optical flow algorithm based on dynamic illumination mode to examine defects on highly reflective turbine blade surface

Using optical flow algorithm based on dynamic illumination mode to examine defects on highly reflective turbine blade surface

Automated Visual Defect Detection for Flat Steel Surface: A Survey

The Impact of Pressure on the Fingerprint Impression: Presentation Attack Detection Scheme

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