Analysis and comparison of normal and altered fingerprint using artificial neural networks

Fingerprint matching is based on the number of minute matches between two fingerprints. Implementation mainly includes image enhancement, segmentation, orientation histogram, etc., extraction (completeness) and corresponding minutiae. Finally, a matching score is generated that indicates whether two fingerprints coincide with the help of coding with MATLAB to find the matching score and simulation of Artificial Neural Network extending the feedback of the network. Using the artificial neural network tool, an important advantage is the similarity index between the sample data or unknown data. A neural network is a massively parallel distributed processor consisting of simple processing units that have a natural property to store knowledge and computer experiences are available for use. A fingerprint comparison essentially consists of two fingerprints to generate a fingerprint match score the match score is used to determine whether the two impressions they are of the same finger. The decision is made this study shows the comparison of normal and altered fingerprints using MATLAB coding and data used to study in the self-generated data using biometric scanner also the open source data available on the web is used for finding out matching score or similarity index, The study shows that there is hardly any matching between normal and altered fingerprints of the same person.

An interpretable mechanism for personalized recommendation based on cross feature

The existing recommender system provides personalized recommendation service for users in online shopping, entertainment, and other activities. In order to improve the probability of users accepting the system’s recommendation service, compared with the traditional recommender system, the interpretable recommender system will give the recommendation reasons and results at the same time. In this paper, an interpretable recommendation model based on XGBoost tree is proposed to obtain comprehensible and effective cross features from side information. The results are input into the embedded model based on attention mechanism to capture the invisible interaction among user IDs, item IDs and cross features. The captured interactions are used to predict the match score between the user and the recommended item. Cross-feature attention score is used to generate different recommendation reasons for different user-items.Experimental results show that the proposed algorithm can guarantee the quality of recommendation. The transparency and readability of the recommendation process has been improved by providing reference reasons. This method can help users better understand the recommendation behavior of the system and has certain enlightenment to help the recommender system become more personalized and intelligent.

Automatic Retrieval of Shoeprints Using Modified Multi-Block Local Binary Pattern

A shoeprint is a valuable clue found at a crime scene and plays a significant role in forensic investigations. In this paper, in order to maintain the local features of a shoeprint image and place a pattern in a block, a novel automatic method was proposed, referred to as Modified Multi-Block Local Binary Pattern (MMB-LBP). In this method, shoeprint images are divided into blocks according to two different models. The histograms of all blocks of the first and second models are separately measured and stored in the first and second feature matrices, respectively. The performance evaluations of the proposed method were carried out by comparing with state-of-the-art methods. The evaluation criteria are the successful retrieval rates obtained using the best match score at rank one and cumulative match score for the first five matches. The comparison results indicated that the proposed method performs better than other methods, in terms of retrieval of complete and incomplete shoeprints. That is, the proposed method was able to retrieve 97.63% of complete shoeprints, 96.5% of incomplete toe shoeprints, and 91.18% of incomplete heel shoeprints. Moreover, the experiments showed that the proposed method is significantly resistant to the rotation, salt and pepper noise, and Gaussian white noise distortions in comparison with the other methods.

Immunopathogenesis and proposed clinical score for identifying Kelch-like protein-11 encephalitis

In this study, we report the clinical features of Kelch-like protein 11 antibody-associated paraneoplastic neurological syndrome, design and validate a clinical score to facilitate the identification of patients that should be tested for Kelch-like protein 11 antibodies, and examine in detail the nature of the immune response in both the brain and the tumour samples for a better characterization of the immunopathogenesis of this condition. The presence of Kelch-like protein 11 antibodies was retrospectively assessed in patients referred to the French Reference Center for paraneoplastic neurological syndrome and autoimmune encephalitis with (i) antibody-negative paraneoplastic neurological syndrome [limbic encephalitis (n = 105), cerebellar degeneration (n = 33)] and (ii) antibody-positive paraneoplastic neurological syndrome [Ma2-Ab encephalitis (n = 34), antibodies targeting N-methyl-D-aspartate receptor encephalitis with teratoma (n = 49)]. Additionally, since 1 January 2020, patients were prospectively screened for Kelch-like protein 11 antibodies as new usual clinical practice. Overall, Kelch-like protein 11 antibodies were detected in 11 patients [11/11, 100% were male; their median (range) age was 44 (35–79) years], 9 of them from the antibody-negative paraneoplastic neurological syndrome cohort, 1 from the antibody-positive (Ma2-Ab) cohort and 1 additional prospectively detected patient. All patients manifested a cerebellar syndrome, either isolated (4/11, 36%) or part of a multi-system neurological disorder (7/11, 64%). Additional core syndromes were limbic encephalitis (5/11, 45%) and myelitis (2/11, 18%). Severe weight loss (7/11, 64%) and hearing loss/tinnitus (5/11, 45%) were common. Rarer neurologic manifestations included hypersomnia and seizures (2/11, 18%). Two patients presented phenotypes resembling primary neurodegenerative disorders (progressive supranuclear palsy and flail arm syndrome, respectively). An associated cancer was found in 9/11 (82%) patients; it was most commonly (7/9, 78%) a spontaneously regressed (‘burned-out’) testicular germ cell tumour. A newly designed clinical score (MATCH score: male, ataxia, testicular cancer, hearing alterations) with a cut-off ≥4 successfully identified patients with Kelch-like protein 11 antibodies (sensitivity 78%, specificity 99%). Pathological findings (three testicular tumours, three lymph node metastases of testicular tumours, one brain biopsy) showed the presence of a T-cell inflammation with resulting anti-tumour immunity in the testis and one chronic, exhausted immune response—demonstrated by immune checkpoint expression—in the metastases and the brain. In conclusion, these findings suggest that Kelch-like protein 11 antibody paraneoplastic neurological syndrome is a homogeneous clinical syndrome and its detection can be facilitated using the MATCH score. The pathogenesis is probably T-cell mediated, but the stages of inflammation are different in the testis, metastases and the brain.

Influencia de las variables contextuales en la intervención del portero de hockey patines en la falta directa

El objetivo del presente estudio fue analizar el efecto de las variables contextuales del partido en la intervención del portero de hockey patines durante las faltas directas. Se realizó un estudio documental basado en la Ok Liga 2015-16 y fueron analizadas todas las faltas directas (n=637). Los datos fueron recogidos de las actas de juego de la Real Federación Española de Patinaje. Se analizaron las variables contextuales: minuto de partido, estado del marcador, momento de la temporada, importancia de la falta directa y localización del partido. Se realizó un análisis correlacional mediante la prueba chi cuadrado de Pearson para identificar la relación entre las variables del estudio y la eficacia del portero. Los resultados constataron que el minuto de partido presenta una relación significativa con la eficacia del portero (χ2= 17,665; Sig.=,04; p < ,05; w = ,167). un aumento de la frecuencia de faltas directas en los momentos finales, el 43,96% son lanzadas en los últimos 10 minutos de partido, y una mejora de la eficacia del portero en los momentos críticos (77,1%). Estos resultados pueden contribuir a una mejor comprensión de la importancia de los porteros en el resultado final de los partidos de hockey patines. The aim of the present study was to analyze the effect of the match’s contextual variables on the roller hockey goalkeeper intervention during free hits. A documentary study based on the Ok Liga 2015-16 was carried out and all the direct free hit of this season were analyzed (n=637). The data were collected from the playing records of the Real Federación Española de Patinaje. The contextual variables analyzed in direct free hit were: the minute of the match, score status, season time, importance of the direct free hit and match location. A correlational analysis has been performed using the Pearson's chi-squared test to identify the relationship between contextual variables and goalkeeper’s efficiency. The results show that the minute of the match has a significant relationship with the goalkeeper's efficiency (χ2= 17.665, Sig. =.04, p < .05; w = .167), an increase in the frequency of direct free hit in the final moments, 43.96% are thrown in the last 10 minutes of the game, and an improvement in the goalkeeper's efficiency in critical moments (77.1%). These results can contribute to a better understanding of the goalkeepers’ importance in roller hockey matches result. O objetivo do presente estudo foi analisar o efeito das variáveis ​​contextuais do jogo na intervenção do guarda-redes de hóquei em patins nos livres diretos. Um estudo documental baseado na Ok Liga 2015-16 foi realizado e foram analisados todos os livres diretos (n = 637). Os dados foram coletados das minutas do jogo da Real Federación Española de Patinaje. Foram analisadas as variáveis ​​contextuais: minuto de jogo, estado do marcador, momento da época, importância do livre direto e localização do jogo. Foi realizada um análise correlacional pelo teste qui-quadrado de Pearson para identificar a relação entre as variáveis ​​do estudo e a eficácia do guarda-redes. Os resultados mostraram que o minuto de jogo tem relação significativa com a eficácia de guarda-redes (χ2 = 17.665, Sig = .04, p < .05; w = ,167), um aumento na freqüência dos livres diretos nos momentos finais do jogo, 43.96% são marcados nos últimos 10 minutos do jogo, e uma melhora na eficácia do guarda-redes nos momentos críticos (77.1%). Esses resultados podem contribuir para uma melhor compreensão da importância dos guarda-redes no resultado final dos jogos de hóquei em patins.

Multimodal Biometrics Using Fingerprint, Palmprint, and Iris With a Combined Fusion Approach

Multimodal biometrics is the frontier to unimodal biometrics as it integrates the information obtained from multiple biometric sources at various fusion levels i.e. sensor level, feature extraction level, match score level, or decision level. In this article, fingerprint, palmprint, and iris are used for verification of an individual. The wavelet transformation is used to extract features from fingerprint, palmprint, and iris. Further the PCA is used for dimensionality reduction. The fusion of traits is employed at three levels: feature level; feature level combined with match score level; and feature level combined with decision level. The main objective of this research is to observe effect of combined fusion levels on verification of an individual. The performance of three cases of fusion is measured in terms of EER and represented with ROC. The experiments performed on 100 different subjects from publicly available databases demonstrate that combining feature level with match score level and feature level with decision level fusion both outperforms fusion at only a feature level.

Crime Scene Shoeprint Retrieval Using Hybrid Features and Neighboring Images

Given a query shoeprint image, shoeprint retrieval aims to retrieve the most similar shoeprints available from a large set of shoeprint images. Most of the existing approaches focus on designing single low-level features to highlight the most similar aspects of shoeprints, but their retrieval precision may vary dramatically with the quality and the content of the images. Therefore, in this paper, we proposed a shoeprint retrieval method to enhance the retrieval precision from two perspectives: (i) integrate the strengths of three kinds of low-level features to yield more satisfactory retrieval results; and (ii) enhance the traditional distance-based similarity by leveraging the information embedded in the neighboring shoeprints. The experiments were conducted on a crime scene shoeprint image dataset, that is, the MUES-SR10KS2S dataset. The proposed method achieved a competitive performance, and the cumulative match score for the proposed method exceeded 92.5% in the top 2% of the dataset, which was composed of 10,096 crime scene shoeprints.