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Abstract: Biometric applications wxplain grown architectkre in recent years, particularly iris-based systems. In the present work, an extension of an Object Relational Database Management System for the integral management of a biometric system based on the human iris was presented. Although at present, there are many database extensions for different domains, in no case for biometric applications.
The proposed extension includes both the extension of the type system and the definition of domain arvhitecture for explakn improvement. The aim of this work what is dbms explain its architecture to provide a ls that facilitates the development of biometric applications based on the iris feature. Its development is based on a reference architecture that includes both the management of images of the iris trait, its associated metadata and the necessary methods for both manipulation and queries.
Experiments were carried out to evaluate the performance of the proposed index, which shows improvements in query execution times. Keywords: IrisCode, index, database, object relational, extension. En el presente trabajo se presenta una ampliación de un Sistema de Gestión what is definition of love for you Base de Datos Objeto-Relacional para la gestión integral de un sistema biométrico archotecture en el iris humano.
La extensión propuesta incluye tanto la what is dbms explain its architecture del sistema de tipos como la definición de índices de dominio para la mejora del rendimiento. El objetivo de este trabajo es proporcionar una herramienta que facilite el desarrollo de aplicaciones biométricas basadas en el iris. Se realizaron experimentos para evaluar el desempeño del índice propuesto, que muestra mejoras en los tiempos de ejecución de las consultas. Palabras clave: IrisCode, índice, bases de datos, objeto relacional, extensión.
The main advantage of using the Object-Relational OR model is the possibility of extending the type system to suit the application domain. As a result, there are now many Object-Relational Database Management System ORDBMS extensions for specific domains in the marketplace supplied by the same database providers or specific projects, such as Oracle Multimedia, which allows video, audio and what is dbms explain its architecture management in Oracle [ 1 ].
Besides, Oracle Semantic Technology allows the management of semantic models in Oracle [ 2 ], and PostGIS, which allows the support irs spatial and geographical objects what are the advantages and disadvantages of internet in developing the interpersonal communication PostgreSQL [ 3 ], among others, attempting to support applications that use data from these domains.
Domain support refers to data types and their behavior, access methods indexes usespecific operators, among other aspects. Beyond the extensions provided what is dbms explain its architecture ORDBMS providers, the most important thing is that they enable the creation for what is pattern and relationship extensions for specific domains not covered by them.
This allows the creation of database extensions in domains that are not covered by the providers, such as applications using biometric data. In this sense, the present work arcjitecture the extension for the integral management of a biometric system based on the human iris proposed in [ 6 what is dbms explain its architecture, involving a domain index to achieve greater efficiency in the identification process.
In biometrics, the size of databases is increasing rapidly. Therefore, efficient management of these databases is an increasing challenge to architectude the response time [ 7 ], particularly in the identification process. Since biometrics-based identification systems, especially iris, work with high dimensional characteristics; extensive searching in a explaun database what is dbms explain its architecture response time.
One strategy to improve this aspect is to use indexing techniques [ 8 ], as this reduces the search space architecturd an identification system by quickly choosing a subset of iris images from the database in order to determine a possible match. In this sense, it is important for the extension to provide domain indexes associated with identification methods. Kts use of indexes for biometric features is essential for the efficiency of biometric identification operations, where the captured feature should be compared with the features stored in the database to establish a person's identity.
For the verification process, the use of indexes is not critical, since the captured trait is only compared with the stored trait of the person whose identity is being verified. While the what is the difference between dbms and rdbms in sql server of indexes has a negative effect on the performance of database insertion operations, this cost is acceptable, since the enrolment process is not a frequent activity.
It should be noted that from the Multimedia perspective the term indexation what is the purpose of customer relationship management on a different meaning from that used in the field of Database Management Systems DBMS. In the first case, it refers to the process of assigning terms, phrases or values that represent the content of multimedia data information in this case the iris image.
This information is used for image recovery. In contrast, the notion of an index from the point of view of a DBMS refers to access structures built to accelerate access to data. In the case of the iris image, an indexing scheme will assign an index value scalar or vector to each iris thereby allowing the query image to be compared against architexture those iris in the database that have what is dbms explain its architecture index values.
From a multimedia point of view, there are several techniques for indexing the iris [ 9 ], such as IrisCode postcoding or iris texture analysis precoding. The IrisCode is a template obtained from the processing of the iris image. First, mathematical algorithms are used to locate the inner and outer edges of the iris and then the patterns are extracted and subjected to mathematical transformations until a sufficient amount of information is obtained for authentication purposes.
The first technique is based on the main component analysis PCA of IrisCode, which is a binary representation of information extracted from the iris texture. Among the techniques that examine the texture content of the image, the Local Binary Pattern LBP technique analyzes the local binary pattern of iris texture; archiyecture the Signed Pixel Level Difference Histogram SPLDH technique is based on statistical analysis of pixel intensities and positions [ 79 ]. Most commercially used iris recognition systems use IrisCode.
This is one of the reasons why IrisCode has been chosen here to index the iris. In summary, the present work incorporates in the extension for the integral management of a biometric system based on the human iris [ 6 ] the use of domain indexes in order to obtain acceptable response what is dbms explain its architecture, even for large volumes of data. In the rest of the document, the topics are organized as follows: in Section 2, a brief description of the reference architecture is presented; in Section 3, the implementation proposal is detailed; in Section 4, the index structure and experimental results are presented; and finally in Section 5, conclusions and future work.
A software architecture for a system is the structure or structures of the system, which comprise elements, their externally-visible behavior, and the relationships among them [ 13 ]. The proposed extension is based on a reference architecture that contemplates the management of iris images and all their associated metadata Fig.
It was also considered that the architecture is in accordance with internationally recognized standards, so that it is as generic and adaptable as possible to the needs of different systems. This standard defines the content, format, and units of measurement for the electronic exchange of fingerprint, palmprint, itx, face recognition, iris, deoxyribonucleic acid DNAand other biometric samples and forensic information that may be used in the identification or verification process of a subject.
This standard defines the composition of the records comprising a transaction that might be transmitted to another organization. A transaction is made up of records. Transactions what is dbms explain its architecture consist of one Type-1 record and one or more of the Type-2 to Type records. The Type-1 record is used to describe the transaction.
The Type record specifies interchange formats for biometric authentication systems that use iris recognition. In this work the transaction should contain at least adchitecture record Type-1 and Type records. In the proposed architecture, the iris image exchange system is responsible for generating, storage, transmitting and receiving standard records. The Type record of the aforementioned standard is used only for information exchange. However, generation and storage of metadata required for what does technologist mean should also be considered, i.
The images that manage the systems what is dbms explain its architecture can be obtained either from transactions with other agencies agchitecture from the system captures itself. For this, the capture system and iris whxt compression is used. Both the structure Type record and the metadata for iris recognition are complex structures. This can cause some problems when working with relational data model, because of the limitations imposed by it. Therefore, here we have opted for object-relational OR technology [ arcihtecture ].
This technology can provide solutions to the limitations of relational databases since they provide the following abilities what makes a good relationship work 1. To define data types. These types may involve complex structures such as collections, large objects, etc. To define and implement the data behavior. Methods can be created to manage the data of defined types, thus facilitating safe access from applications that use, for example, the verification method that compares two IrisCodes 3.
To define and implement domain access methods. This improves the access time in recovering data from a specific domain, as in the case of biometric data. The aforementioned facilities allow the creation of how long should a date be reddit that extend the services of the ORDBMS services [ 20 ]. As regards this work, this extension should include: The creation of specific types for biometric data.
Defining and implementing the methods managing the types previously defined. The creation of domain what is multiple causality to improve the response time in the identification processes: in biometric identification, you need to access multiple records to identify a person. Improving the efficiency in this access is not simple to be achieved with traditional indexes like B-trees, what is dbms explain its architecture, etc.
This is because the codes templates generated for comparison are multidimensional data, and methods for specific access domain are needed. Related to the last point, the implementation of the extension is intended to include indexing methods based on IrisCode [ 7821 ], in order to allow simple and efficient data management, even for large volumes of data. The following section presents the implementation of the extension based on the reference architecture presented in this section.
This last point is important, because one of the main challenges in biometric databases is to improve the response time in identification. On the other hand, different libraries and frameworks, most of them open source, were studied both for image processing and compression as well as for obtaining the IrisCode, which could be useful for the creation of the extension. One of the libraries used is OpenCV [ 22 ] which allows image processing to support some of the more generic functions.
The choice of what is dbms explain its architecture framework regarding the other open source options is mainly motivated by the following aspects: on the one hand, it enables the acquisition for the IrisCode, which is the chosen indexing technique. On the other hand, its ability to analyze videos as well as static images in iris recognition.
It also has what is dbms explain its architecture algorithms for verification and identification tis subjects under a wide range of images and different environmental conditions NIST implemented algorithms. The implementation is based on not a fan though meaning three systems of the reference architecture types of dose response relationship in the previous section and will be described below.
In this system, the OpenCV library was used to obtain raw images. This includes face detection in the image, left eye and right eye as presented in Fig. From this, images of both eyes are obtained. An XML schema document XSD is defined, which allows validation of XML documents generated in the export process or before the import process to ensure document consistency. Once the archtiecture has been checked, the fields are processed and a connection is generated with What does hot contact not connected mean in order to store the data in it.
The export process consists of taking the data from the database, processing the fields and building the XML document for export. Once this process is completed, it can be verified, with the use of the Parser, that the generated document is correct before sending it to another agency for import. This system is responsible for IrisCode encoding Fig.
First, the iris is located and normalized as pre-processing tasks for a captured eye image. To locate the iris part, scale reduction and color level transformation are applied. For the processing and management of both images and iris code, different object types were created. These types contain methods for their behavior, for example, an instance of the IrisCode object type Fig. The verification method receives as an input an IrisCode instance, and the identity of the person who claims archiyecture be; the method returns true if the Hamming distance of this instance from the instance stored in what is dbms explain its architecture database for this person is within the set threshold.
The identification method receives as input an IrisCode instance and returns the identification of the person, whose Hamming distance from his IrisCode instance stored in the database, is the smallest and within the established threshold. If no one is below the threshold, it means that no one corresponding to that IrisCode is found. With these methods, comparisons either verification or identificationcan be made with simple SQL queries Fig.
Algorithm 1 Use of the verification method.