Swati Shirke

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Papers by Swati Shirke

Iris Recognition from an Image at Lengthy Distance by using Deep Belief Neural Network (DBN)

International Journal of Engineering and Advanced Technology, 2019

Now a days, biometric is a one of the best method which is used for the detection of person is ir... more Now a days, biometric is a one of the best method which is used for the detection of person is iris recognition. A large portion of different frameworks are equally introduces for individual ID like as distinguishing proof cards or tokens, mystery codes, passwords, and so on. Yet, the issues of these sort of frameworks are, the mystery codes and passwords can be split, the recognizable proof cards can be harmed. Subsequently the successful strategy for the individual recognizable proof is vital. Iris gives the unmistakable data about an individual. Iris recognition is the process of identifying persons automatically using their iris. Iris provides the distinctive information about a person. This paper exhibits the deep learning-based methodology for the iris acknowledgment. Firstly, the picture is pre-handled to get the precise area of the iris. From that point onward, iris locale is extricated utilizing Hough Transform, which is pursued with the division and standardization of the ...

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Enhanced Social Collie Optimization for Effective Face Recognition

International journal of renewable energy exchange, Apr 11, 2023

Face Recognition by Tri Bird Technique Using Deep Convolutional Neural Network

International journal of renewable energy exchange, Feb 18, 2023

Face Recognition From Video Using Enhanced Social Collie Optimization-based Deep Convolutional Neural Network

Effective face recognition with hybrid distance-key frame selection using TBO-ensemble model

International Journal of Wavelets, Multiresolution and Information Processing

The enormous amount of data contained in the video image has grown rapidly along with surveillanc... more The enormous amount of data contained in the video image has grown rapidly along with surveillance, greatly outpacing the capacity of human resources to handle it effectively. Smart surveillance retrieval is an essential component of any modern video surveillance system, considerably boosting the effectiveness, precision, and interoperability of the system. The use of face recognition and other cutting-edge technology in the security surveillance system is rapidly rising. Therefore, in this article, the distributed deep convolutional neural network (DCNN) and distributed deep BiLSTM is proposed to efficiently detect the face from the video. One of the major contributions involved in this research relies on the key frame selection, where four unique distance measurement techniques are fused, and is named hybrid distance- key frame selection. The Tri birds optimization (TBO) technique selects the best solution from a large number of solutions for the ensemble model classifier engaged ...

Tri Bird Technique for Effective Face Recognition Using Deep Convolutional Neural Network

The massive amount of data produced from Video content, has speedily grown up with surveillance d... more The massive amount of data produced from Video content, has speedily grown up with surveillance data. Human beings can easily handle this data by greatly outperforming the capacity of technical and non-technical resources. In the current era of computer vision great characteristics like precision, effectiveness and interoperability of smart surveillance systems to retrieve data. Security surveillance systems rapidly increase Face value acknowledgement over different subsequent critical methods. In proposed research, deep CNN and deep BiLSTM methods were used for effective face recognition from video input. Generally, the said techniques efficiently handle challenges face recognition by combining the recompenses of computer vision and tri bird optimization. The proposed method can be used in many computer vision applications that help recognize faces. The hybrid deep model is developed using Distributed Deep CNN classifier and distributed BiLSTM classifier, which is optimized using the new optimization that is designed newly for your work. The new optimization is designed based on the characters of vulture, sparrow and crow. Then the output of the classifier is fed through the model by analyzing the face query to attain the retrieved relevant face. The outcome can be measured by enactment over the proposed supposed model and is analyzed through considering metrics such as accuracy, exactness, remembrance and F-value calculator which are implemented in the MATLAB tool to reveal the proposed face recognition method. The proposed model achieves 91.30% accuracy, 95.07% precision, 95.078% recall and 95.078% f-measures by deep convolutional neural network.

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Local gradient pattern and deep learning-based approach for the iris recognition at-a-distance

International Journal of Knowledge-based and Intelligent Engineering Systems

One of the biometric techniques utilized to predict the human is based on the iris. The recogniti... more One of the biometric techniques utilized to predict the human is based on the iris. The recognition of iris is performed by discovering an individual without human intervention utilizing the iris of human eyes. Iris offers distinct information about the person. This research presents deep learning strategy for performing iris recognition. Primarily, image is pre-processed to obtain exact region iris. Then, region of iris is extracted using Hough Transform, followed by segmentation and normalization of iris region using Daugman’s rubber sheet model. Once segmentation is performed, the features are generated with ScaT-LOOP that is the combination of Scattering Transform (ST), Tetrolet transforms (TT), Local Gradient Pattern (LGP) and Local Optimal Oriented Pattern (LOOP). Finally, steepest gradient-based Deep Belief Network (DBN) is utilized for recognizing the iris. The performance of iris recognition using the DBN classifier is computed based on accuracy, False Rejection Rate (FRR),...

Iris Recognition Using Visible Wavelength Light Source and Near Infrared Light Source Image Database: A Short Survey□

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)

In most of the iris identification systems, the complete image constraints are understood. These ... more In most of the iris identification systems, the complete image constraints are understood. These Constrain include near-infrared (NIR) illumination to release the iris texture and close distance from the capturing device. In recent advances to different illumination technologies introduced in images captured in the environment. This environment includes a visible wavelength (VW) light source at-a-distance over the close distance from the capturing device. For accurate Iris identification at-a-distance, eye images require improvement of effective strategies. By using implementation of iris-identification-at-a-distance (IAAD) systems. For feature extraction technique for NIR and VW images were taken under uncontrolled environment. For the identification of iris accuracy on the publicly available databases proposed in comparison to the contemporary.

Biometric Personal Iris Recognition from an Image at Long Distance

2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)

Now a days, Iris recognition is mostly used in biometrics for personal identification. It is the ... more Now a days, Iris recognition is mostly used in biometrics for personal identification. It is the most powerful tool for person identification. But in real time it is quite difficult to capture the better quality of iris images. The images obtained are more degraded due to the lack of texture, blur. In this paper, a simple high instability technique is presented also this process is more convenient to use. This super-resolution algorithm is applied to the pixels of iris images to select the best frame from the iris image. A segmentation algorithm that segments the input iris images. Spatial FCM used for segmentation testing purpose. Iris image is framing 600 x 600 in sequence to calculate vessel area in each framework using for pattern abstraction using loop descriptor. The Hough transforms cast-off de-noising the image. The experimental results show that this proposed system successfully recognizes the iris about 4 to 8 meters long distance of a person. This proposed work is developed on MATLAB for “reading” the profile also for completing the Hough transforms performance. The database used for this purpose is CASIA V4. The simulation results show that the stable extraction of iris recognition.

Review of IRIS recognition techniques

2017 International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET), 2017

Iris recognition is effective biometric technique that gained attention in past 20 years. Over pa... more Iris recognition is effective biometric technique that gained attention in past 20 years. Over past few years many techniques and algorithms are proposed for effective iris recognition under various constraints. Low constraint IRIS recognition is still an area where considerable work needs to be done and there is huge scope to do. This paper discusses about various techniques proposed, the constraints in which they are suitable for is studied and summarized It also discusses on the issues affecting the recognition accuracy. In our implementation we are proposing some novel methods to overcome the factors adversely affecting the iris recognition accuracy.

ScatT-LOOP: scattering tetrolet-LOOP descriptor and optimized NN for iris recognition at-a-distance

Biomedical Engineering / Biomedizinische Technik, 2021

Iris Recognition at-a Distance (IAAD) is a major challenge for researchers due to the defects ass... more Iris Recognition at-a Distance (IAAD) is a major challenge for researchers due to the defects associated with the visual imaging and poor image quality in dynamic environments, which imposed bad impacts on the accuracy of recognition. Thus, in order to enable the effective IAAD, this paper proposes a new method, named, Chronological Monarch Butterfly Optimization (Chronological MBO)-enabled Neural Network (NN). The recognition of iris using NN is trained with the proposed Chronological MBO, which is developed through the combination of Chronological theory in Monarch Butterfly Optimization (MBO). The recognition becomes effective with the automatic segmentation and the normalization of iris image on the basis of Hough Transform (HT) and Daugman’s rubber sheet model followed with the process of feature extraction with the developed ScatT-LOOP descriptor, which is the integration of scattering transform (ST), Local Optimal Oriented Pattern (LOOP) descriptor, and Tetrolet transform (TT...

Radon Transform over Hough Transform and Daugman’s Rubber Sheet Model over Modified Fourier Descriptor Method for Identification of an Iris from Long Distance

In this document, the explanation and the comparison of Randon transform with Hough transform and... more In this document, the explanation and the comparison of Randon transform with Hough transform and Daugman's Model with Modified Fourier Descriptor Method to the identification of an iris picture from a long distance is given. For the identification of an iris picture from a long distance. There are two types of studies are utilized namely transform domain study and spatial domain study. The Randon transform and Hough transform are utilized for transform domain study for detection of lines, circles, or some other parametric turns in the iris pictures. Transformation using Randon and Hough is utilized to classify an internal pupil besides the exterior pupil of an iris picture from the edges of an iris image. In addition to this, the spatial domain study is also given in this article for detecting the corresponding peaks of an iris picture. The dataset used for these tactics is UBIRIS.v1. In MATLAB this system is implemented to perform Randon transform and Hough transforms and spat...

Biometric Private Iris Recognition From An Image at Long Distance: A survey

International Journal of Engineering and Advanced Technology, 2019

The specially finished annular element of the person eye which is remotely visible is - iris. Thi... more The specially finished annular element of the person eye which is remotely visible is - iris. This iris recognition is useful to identify the individual. In number of applications the iris recognition system is used. Most of the countries uses biometric system for security purpose such that in airfield boarding, custom clearance, congregation entrance and so on. The Indian government also uses biometric system for identification of citizen in different applications like as in rashan shop, Aadhar project, in different government exam forms and registration dept. etc. The customary iris recognition systems develop near infrared (NIR) sensors to obtain pictures of the iris. But in this method the iris can acquire distance less than 1 meter. In the course of the last several years, there have been different designs to plan and complete iris acknowledgment frameworks which operates at longer distance ranging from 1 meter to 60 meter. Therefore, due to such long range of iris recognition ...

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Iris Recognition at-a-Distance by Means of Chronological MBO-Based DBN

International Journal of Innovative Technology and Exploring Engineering, 2019

Now a days, Iris recognition is wieldy used for the identification of person. The superior bit of... more Now a days, Iris recognition is wieldy used for the identification of person. The superior bit of 1 countries exploits biometric system for safety reason with the conclusion goal that in runway boarding, custom freedom, gathering passage, etc. The Iris detection at-a-Distance (IAAD) framework is generally used to identify the person in most of the applications. In this system, different features of iris image are extracted in addition enhances the superiority of iris image. Over the span of the most recent ages there consume raised various structures to design and finish iris affirmation systems which works at longer separation going from one meter to sixty meter. Because of such long scope of iris detection schemes in addition iris attainment scheme provides for the best applications to the client. Therefore, It is necessary to design an effective algorithm for IAAD is necessary. In this article, an actual method for iris recognition is presents. A Chronological Monarch Butterfly O...

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Iris Recognition from an Image at Lengthy Distance by using Deep Belief Neural Network (DBN)

International Journal of Engineering and Advanced Technology, 2019

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Enhanced Social Collie Optimization for Effective Face Recognition

International journal of renewable energy exchange, Apr 11, 2023