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Latent fingerprint identification is such a difficult task to law enforcement agencies and border security in identifying suspects. It is a too complicate due to poor quality images with non-linear distortion and complex background noise. Hence, the image quality is required for matching those latent fingerprints. The current researchers have been...
Citations
... Enhancing security by providing e-authentication to the database helps to improve the security [6], [16], [21].The authentication of data may not be completely secure. But, the enhanced e-authentication techniques [13] helps to improvise the security against most of the intrusion techniques. Users can access the database to modify and access data. ...
... In [2], SIFT algorithm has been effectively utilized for fingerprint recognition. This method offers a reliable approach for fingerprint recognition. ...
... (1) arctan (2) Here, 'G_x' and 'G_y' represent the gradients in the x and y directions, respectively, for the test image. These gradient values are crucial for calculating the magnitude and orientation, which are then used to generate a histogram. ...
... It has been heavily explored by researchers, most of which divide the whole image into multiple parts and analyze the features of each part independently. The local feature extraction methods show better robustness, such as the Local Binary Pattern (LBP) [3,4], Scale Invariant Feature Transform (SIFT) [5], speeded-up robust feature (SURF) [6], Local Phase Quantization (LPQ) [7] and wavelet Gabor [8] etc. Among the local feature extraction methods, LBP is the most classic one. ...
Inspired by Fechner's law, we propose a Fechner multiscale local descriptor (FMLD) for feature extraction and face recognition. Fechner's law is a well-known law in psychology, which states that a human perception is proportional to the logarithm of the intensity of the corresponding significant differences physical quantity. FMLD uses the significant difference between pixels to simulate the pattern perception of human beings to the changes of surroundings. The first round of feature extraction is performed in two local domains of different sizes to capture the structural features of the facial images, resulting in four facial feature images. In the second round of feature extraction, two binary patterns are used to extract local features on the obtained magnitude and direction feature images, and four corresponding feature maps are output. Finally, all feature maps are fused to form an overall histogram feature. Different from the existing descriptors, the FMLD’s magnitude and direction features are not isolated. They are derived from the “perceived intensity”, thus there is a close relationship between them, which further facilitates the feature representation. In the experiments, we evaluated the performance of FMLD in multiple face databases and compared it with the leading edge approaches. The results show that the proposed FMLD performs well in recognizing images with illumination, pose, expression and occlusion changes. The results also indicate that the feature images produced by FMLD significantly improve the performance of convolutional neural network (CNN), and the combination of FMLD and CNN exhibits better performance than other advanced descriptors.
... Previously our team has a rich experience in working on various research projects across multiple disciplines. [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40] Now the growing trend in this area motivated us to pursue this project. Now we are focusing on retrospective studies. ...
... Because of the increased likelihood of recurrent caries following restorative therapy, the use of direct filling materials must be done with extreme caution [12], we need a restorative material that can inhibit a broad spectrum of bacteria. Our team has a wealth of knowledge and research expertise, which has resulted in publications of the highest caliber [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. Therefore, the study's objective was to improve the antibacterial capabilities of GICs by modifying them with Thyme leaf extracts. ...
... Cao and Jain [1] adapted the convolutional neural network for the ridge orientation estimation along with the minutiae matching technique for recognition, which has attained a higher recognition score than the descriptor-based Hough transform method proposed by Paulino et al. [16]. Further, Manickam et al. [15] used the Euclidean distance approach for fingerprint matching based on extracted features with Scale Invariant Feature Transformation. The authors have also conducted the enhancement of fingerprints using the type-2 fuzzy set prior to the fingerprint minutia extraction and matching. ...
... The similarity is evaluated by incorporating the structural and orientation similarity. It is described in Equation (15). Where, the symbols i and d indicate the input image and database match images respectively. ...
Latent fingerprints are adapted as prominent evidence for the identification of crime suspects from ages. The unavailability of complete minutiae information, poor quality of impressions, and overlapping of multi-impressions make the latent fingerprint recognition process a challenging task. Although the contributions in the field are efficient for determining the match, there is a requirement to ameliorate the existing techniques as false identification can put the benign behind bars. This research work has amalgamated the Cuckoo Search (CS) algorithm with Ant Colony Optimization (ACO) for the recognition of latent fingerprints. It reduces the demerits of the individual cuckoo search algorithm, such as the probability of falling into local optima, the inefficient creation of nests at the boundary due to random walk and Levy flight attributes. The positive feedback mechanism of ant colony optimization makes it easy to combine with other techniques, reducing the risk of local failure and evaluating the global best solution. Prior to the evaluation of the proposed amalgamated technique on the latent fingerprint dataset of NIST SD-27, it is tested with the benchmark functions for different shapes and physical attributes. The benchmark testing and latent fingerprint evaluation result in the betterment of the amalgamated technique over the individual cuckoo search algorithm. The state-of-the-art comparison indicates that the amalgamation technique outperformed the other fingerprint matching techniques.
... Our research and knowledge have resulted in high-quality publications from our team. [12][13][14][15][16][17][18][19][20][21][22][23] In this study, nano-sized particles of selenium were prepared and their antibacterial properties were evaluated. ...
This study aimed to synthesize selenium nanoparticles (SeNPs) using stevia plant leaves and to evaluate the antimicrobial effect of nano-sized particles of selenium. A new organic synthesis of nano-sized selenium particles was done in this study. In this study, stevia leaves for the synthesis of nano-sized particles along with sodium selenite were done. This mixture was mixed homogeneously using an orbital shaker overnight. The color change indicated the formation of SeNPs. The SeNPs were evaluated for their size and shape and their antimicrobial property was assessed. SeNPs showed excellent antimicrobial activity against Candida albicans at 100 μL concentration. At 25 μL and 50 μL, C. albicans showed intermediate susceptibility to SeNPs which also indicated a good antimicrobial potential. Following C. albicans, SeNPs showed good antimicrobial potential against Streptococcus mutans at all concentrations. SeNPs possessed good antimicrobial activity against most common oral pathogens.
... [15] Our research and knowledge have resulted in high-quality publications from our team. [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] The study was designed to check the level of awareness of the various hematological malignancies and its consequences among college students. It is done so that the students can have a wide knowledge to assess and act upon a situation when it arises. ...
Cancers of blood arise when the abnormal blood cells undergo uncontrolled growth which outpaces the natural production of normal blood cells, interfering with the cells' normal functions. Leukemia, lymphoma, and myeloma are the three types of blood cancers. The aim of our study is to assess and create awareness of hematological malignancies among college students. A questionnaire was prepared using Google Forms based on the awareness of the Hematological malignancies disinfection methods among dental students in Chennai. It was then circulated among a certain set of participants using an online Google Form link. The participants were asked about their knowledge level regarding hematological malignancies and a majority (68.97%) were aware of the same, whereas 27.59% were not aware and the rest (3.45%) were not sure. When asked about how dental care detects various hematological malignancies, 10.34% of the participants replied as "patient speaks about any abnormality," 75.86% replied as "oral manifestations," and 13.79% replied as "dentists cannot detect hematological malignancies." From the above results and discussion, we can come to the conclusion that most of the dental students who participated in the survey are aware of hematological malignancies and its various types.
... Blue denotes no awareness among dental students and green denotes awareness among dental students. The standard deviation of this graph is 1. 23. The Pearson correlation test shows P = 0.020. ...
... [15] Our research and knowledge have resulted in high-quality publications from our team. [16][17][18][19][20][21][22][23][24] The aim of the study was to determine the knowledge, attitude, and practice regarding the use of composites for orthodontic purposes among dental students. ...
The aim of the study was to determine the knowledge, attitude, and practice regarding the use of composites for orthodontic purposes among dental students. The questionnaire was designed to evaluate knowledge, attitude, and awareness. Google Forms was used for the distribution of questions. This is a questionnaire survey based on knowledge, attitude, and awareness regarding the use of composites for orthodontic purposes among dental students; 86% of them had awareness regarding the use of composites for orthodontic purposes, wherein the remaining 14% were not aware. Considering the limitations of the study groups, we can conclude that the knowledge, attitude, and awareness regarding the use of composites for orthodontic purposes among dental students were good. However, there is still a lack of knowledge in few perspectives which can be overcome with continuous dental education programs and lectures.
... [11] Our research and knowledge have resulted in high-quality publications from our team. [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] This study aimed to determine the surface roughness changes of two composite resin restorative materials after thermocycling. ...
Composite is usually a mixture of two phases. The composites used in dentistry have high durability. The individual properties of each phase are important to increase the mechanical property of the composite. This study aimed to determine the surface roughness changes of two composite resin restorative materials after thermocycling. Two of the commercially available composites were chosen (RestoFill and SwissTEC). The composite disks of dimension 10 mm diameter and 3 mm height were prepared using silicone molds, and every increment was light cured for 30 s. A stylus profilometer was used to assess the surface roughness prethermocycling, and then, the disks were subjected to an integrated thermocycler (T.S-4.4) for 1000 cycles. The postsurface roughness was obtained after the thermocycling process using the same stylus profilometer. The surface parameter values before and after thermocycling of the SwissTEC sample is less than that of RestoFill. There was a significant difference between the Rz and Rq values of the two different commercially available composite materials. Thus, the present study concludes that thermocycling influenced the surface roughness of composite resin and increased the surface roughness of both the RestoFill and SwissTEC composites.
