A novel approach for Finger Vein verification based on self-taught learning

Abstract Finger vein(s) based biometrics is another way to deal with individual's distinguishing proof and has recently received much consideration. The strategy in light of low-level components, like the dark surface of finger vein is taken as standard. However, it is typically looked with numerous difficulties that involves affectability to noise and low neighbourhood consistency. Generally finger vein recognition in view of abnormal state highlights the portrayal that has ended up being a promising method to successfully defeat the above restrictions and enhance the framework execution. This research work proposes finger vein-based recognition technique making use of Hybrid BM3D Filter along with grouped sparse representation for image denoising and feature selection (Local Binary Pattern – LBP, Scale Invariant Feature Transform – SIFT) to evaluate features, key-points and perform recognition. The experimental results on two open databases of finger vein, i.e., HKPU and SDU show that the proposed method has enhanced the overall performance of finger vein pattern recognition system compared with other existing methods.

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A novel approach to finger vein authentication

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) ◽

10.1109/isbi.2017.7950606 ◽

2017 ◽

Cited By ~ 8

Author(s):

Fotios Tagkalakis ◽

Dimitrios Vlachakis ◽

Vasileios Megalooikonomou ◽

Athanassios Skodras

Keyword(s):

Finger Vein ◽

Novel Approach

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A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector

International Journal of Computer Applications ◽

10.5120/ijca2017912637 ◽

2017 ◽

Vol 157 (2) ◽

pp. 16-20 ◽

Cited By ~ 1

Author(s):

Kayode A. ◽

M. Rahim ◽

Abdul Hanan

Keyword(s):

Edge Detector ◽

Vein Pattern ◽

Canny Edge Detector ◽

Finger Vein ◽

Novel Approach ◽

Canny Edge

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Finger Vein Based Authentication using Deep Learning Techniques

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.e6890.018520 ◽

2020 ◽

Vol 8 (5) ◽

pp. 5403-5408

Keyword(s):

Neural Network ◽

Deep Learning ◽

Loss Functions ◽

Activation Functions ◽

Finger Vein ◽

Novel Approach ◽

Learning Techniques ◽

Proposed Model ◽

Simulation Results ◽

Biometric Trait

Security is one of the major concerns of current times. Biometric based methods are found to be more reliable and accurate in authenticating an individual. Hand-based biometric traits are proved to be easily accessible during data collection. Collecting, storing and processing biometric trait images of all the employees is always a challenge for larger organizations. Deep learning techniques come to rescue from such situations. In this paper, we propose a novel approach for authentication using finger-vein images. We use basic convolutional neural network (CNN) with transfer learning. The model has been pre-trained on various types of images available on ImageNet database through ResNet – 50 architecture. This pre-trained model has been then run through CNN model with appropriate number of hidden layers and activation functions. The optimizers and loss functions are used to achieve appropriate classification among the images. The simulation results of proposed model has shown 99.06% of accuracy in classifying an individual.

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Copper-dependent ATP7B up-regulation drives the resistance of TMEM16A-overexpressing head-and-neck cancer models to platinum toxicity

Biochemical Journal ◽

10.1042/bcj20190591 ◽

2019 ◽

Vol 476 (24) ◽

pp. 3705-3719 ◽

Cited By ~ 2

Author(s):

Avani Vyas ◽

Umamaheswar Duvvuri ◽

Kirill Kiselyov

Keyword(s):

Oxidative Stress ◽

Head And Neck ◽

Transcriptional Activation ◽

Platinum Resistance ◽

Mrna Levels ◽

Strong Positive Correlation ◽

Platinum Compounds ◽

Copper Chelation ◽

Novel Approach ◽

Cancer Models

Platinum-containing drugs such as cisplatin and carboplatin are routinely used for the treatment of many solid tumors including squamous cell carcinoma of the head and neck (SCCHN). However, SCCHN resistance to platinum compounds is well documented. The resistance to platinum has been linked to the activity of divalent transporter ATP7B, which pumps platinum from the cytoplasm into lysosomes, decreasing its concentration in the cytoplasm. Several cancer models show increased expression of ATP7B; however, the reason for such an increase is not known. Here we show a strong positive correlation between mRNA levels of TMEM16A and ATP7B in human SCCHN tumors. TMEM16A overexpression and depletion in SCCHN cell lines caused parallel changes in the ATP7B mRNA levels. The ATP7B increase in TMEM16A-overexpressing cells was reversed by suppression of NADPH oxidase 2 (NOX2), by the antioxidant N-Acetyl-Cysteine (NAC) and by copper chelation using cuprizone and bathocuproine sulphonate (BCS). Pretreatment with either chelator significantly increased cisplatin's sensitivity, particularly in the context of TMEM16A overexpression. We propose that increased oxidative stress in TMEM16A-overexpressing cells liberates the chelated copper in the cytoplasm, leading to the transcriptional activation of ATP7B expression. This, in turn, decreases the efficacy of platinum compounds by promoting their vesicular sequestration. We think that such a new explanation of the mechanism of SCCHN tumors’ platinum resistance identifies novel approach to treating these tumors.

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Collecting Words: A Clinical Example of a Morphology-Focused Orthographic Intervention

Language Speech and Hearing Services in Schools ◽

10.1044/2020_lshss-19-00050 ◽

2020 ◽

Vol 51 (3) ◽

pp. 544-560 ◽

Cited By ~ 3

Author(s):

Kimberly A. Murphy ◽

Emily A. Diehm

Keyword(s):

Written Language ◽

Morphological Knowledge ◽

English Orthography ◽

Word Level ◽

Novel Approach ◽

Language Pathology ◽

The One ◽

Critical Intervention ◽

Reading And Spelling ◽

Reading And Spelling Difficulties

Purpose Morphological interventions promote gains in morphological knowledge and in other oral and written language skills (e.g., phonological awareness, vocabulary, reading, and spelling), yet we have a limited understanding of critical intervention features. In this clinical focus article, we describe a relatively novel approach to teaching morphology that considers its role as the key organizing principle of English orthography. We also present a clinical example of such an intervention delivered during a summer camp at a university speech and hearing clinic. Method Graduate speech-language pathology students provided a 6-week morphology-focused orthographic intervention to children in first through fourth grade ( n = 10) who demonstrated word-level reading and spelling difficulties. The intervention focused children's attention on morphological families, teaching how morphology is interrelated with phonology and etymology in English orthography. Results Comparing pre- and posttest scores, children demonstrated improvement in reading and/or spelling abilities, with the largest gains observed in spelling affixes within polymorphemic words. Children and their caregivers reacted positively to the intervention. Therefore, data from the camp offer preliminary support for teaching morphology within the context of written words, and the intervention appears to be a feasible approach for simultaneously increasing morphological knowledge, reading, and spelling. Conclusion Children with word-level reading and spelling difficulties may benefit from a morphology-focused orthographic intervention, such as the one described here. Research on the approach is warranted, and clinicians are encouraged to explore its possible effectiveness in their practice. Supplemental Material https://doi.org/10.23641/asha.12290687

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