{"id":{"repo_id":"brazil-ufpb","oai_identifier":"oai:repositorio.ufpb.br:123456789/492"},"canonical_url":"https://search.dev.ndltd.org/etd/brazil-ufpb/oai:repositorio.ufpb.br:123456789/492","repository":{"repo_id":"brazil-ufpb","name":"Brazil UFPB","base_url":"https://repositorio.ufpb.br/oai/request"},"display":{"title":"Identificação e autenticação por análise computacional da geometria da mão.","abstract":"While providing services that require access control configuration, companies are facing problems to establish an association between an individual and an identity. Recently, Web services for authentication based on politics of password, data cryptograph’s mechanism and digital signature are excessively operated. However, these methods still show vulnerabilities that result in a high rate of false verification, even in modern systems. In order to upgrade the level of information system security, the BioPass project is being developed. The BioPass predicts the utilization of multifactor authentication and multibiometrics related to active security. The goal of this project is to search and develop a subsystem of BioPass called HandPass that focuses on biometric recognition using hand geometric analysis. The HandPass excel for the huge functionality that put effect through innovative solutions and software architecture, which is open and reconfigurable. Due the lack of appropriated hand image bases, the research required, firstly, constructing a capture device, and secondly, starting to make a database for images of hands. Subsequently, all the acquired images have passed for a phase of preprocessing where they were segmented for being compared by the FullCSS algorithm. After the first tests have been processed, it was observed that the finger and wrist positions in different hand images of the same person decrease its correlation coefficient. In order to solve this problem, the wrist was removed from the images and an algorithm was developed for searching picks and valleys on fingers, and consequently, through a Warping, all the fingers could be placed in a single position improving the results of comparisons. To further projects, it is expected the increasing of images in databases with achieving more tests and adjusts that have been needed and the integration to other subsystem of BioPass focused on biometric recognition of the palm printing.","abstract_html":"While providing services that require access control configuration, companies are facing problems to establish an association between an individual and an identity. Recently, Web services for authentication based on politics of password, data cryptograph’s mechanism and digital signature are excessively operated. However, these methods still show vulnerabilities that result in a high rate of false verification, even in modern systems. In order to upgrade the level of information system security, the BioPass project is being developed. The BioPass predicts the utilization of multifactor authentication and multibiometrics related to active security. The goal of this project is to search and develop a subsystem of BioPass called HandPass that focuses on biometric recognition using hand geometric analysis. The HandPass excel for the huge functionality that put effect through innovative solutions and software architecture, which is open and reconfigurable. Due the lack of appropriated hand image bases, the research required, firstly, constructing a capture device, and secondly, starting to make a database for images of hands. Subsequently, all the acquired images have passed for a phase of preprocessing where they were segmented for being compared by the FullCSS algorithm. After the first tests have been processed, it was observed that the finger and wrist positions in different hand images of the same person decrease its correlation coefficient. In order to solve this problem, the wrist was removed from the images and an algorithm was developed for searching picks and valleys on fingers, and consequently, through a Warping, all the fingers could be placed in a single position improving the results of comparisons. To further projects, it is expected the increasing of images in databases with achieving more tests and adjusts that have been needed and the integration to other subsystem of BioPass focused on biometric recognition of the palm printing.","abstract_has_math":false,"creators":["Barros, Jéssica Urbano Pereira de."],"institution":"Ciência da Computação","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013-10-16","date_published":"2013-10-16","updated_at":"2026-07-24T01:17:54Z","subjects":["Biometria","Identificação biométrica","Autenticação biométrica","Biometry","Biometric Identification","Biometric Authentication"],"languages":["pt"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://repositorio.ufpb.br/jspui/handle/123456789/492","outbound_label":"Repository record","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Barros, Jéssica Urbano Pereira de."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2013-10-16T13:38:31Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2013-10-16T13:38:31Z"]},{"key":"dc:date.issued","label":"Date","values":["2013-10-16"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Ciência da Computação"]},{"key":"dc:type","label":"Dc Type","values":["TCC"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biometria","Identificação biométrica","Autenticação biométrica","Biometry","Biometric Identification","Biometric Authentication"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["pt"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://repositorio.ufpb.br/jspui/handle/123456789/492"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["While providing services that require access control configuration, companies are facing problems to establish an association between an individual and an identity. Recently, Web services for authentication based on politics of password, data cryptograph’s mechanism and digital signature are excessively operated. However, these methods still show vulnerabilities that result in a high rate of false verification, even in modern systems. In order to upgrade the level of information system security, the BioPass project is being developed. The BioPass predicts the utilization of multifactor authentication and multibiometrics related to active security. The goal of this project is to search and develop a subsystem of BioPass called HandPass that focuses on biometric recognition using hand geometric analysis. The HandPass excel for the huge functionality that put effect through innovative solutions and software architecture, which is open and reconfigurable. Due the lack of appropriated hand image bases, the research required, firstly, constructing a capture device, and secondly, starting to make a database for images of hands. Subsequently, all the acquired images have passed for a phase of preprocessing where they were segmented for being compared by the FullCSS algorithm. After the first tests have been processed, it was observed that the finger and wrist positions in different hand images of the same person decrease its correlation coefficient. In order to solve this problem, the wrist was removed from the images and an algorithm was developed for searching picks and valleys on fingers, and consequently, through a Warping, all the fingers could be placed in a single position improving the results of comparisons. To further projects, it is expected the increasing of images in databases with achieving more tests and adjusts that have been needed and the integration to other subsystem of BioPass focused on biometric recognition of the palm printing."]},{"key":"dc:title","label":"Title","values":["Identificação e autenticação por análise computacional da geometria da mão."]}]}],"canonical_facts":{"dc:creator":["Barros, Jéssica Urbano Pereira de."],"dc:date.accessioned":["2013-10-16T13:38:31Z"],"dc:date.available":["2013-10-16T13:38:31Z"],"dc:date.issued":["2013-10-16"],"dc:description.abstract":["While providing services that require access control configuration, companies are facing problems to establish an association between an individual and an identity. Recently, Web services for authentication based on politics of password, data cryptograph’s mechanism and digital signature are excessively operated. However, these methods still show vulnerabilities that result in a high rate of false verification, even in modern systems. In order to upgrade the level of information system security, the BioPass project is being developed. The BioPass predicts the utilization of multifactor authentication and multibiometrics related to active security. The goal of this project is to search and develop a subsystem of BioPass called HandPass that focuses on biometric recognition using hand geometric analysis. The HandPass excel for the huge functionality that put effect through innovative solutions and software architecture, which is open and reconfigurable. Due the lack of appropriated hand image bases, the research required, firstly, constructing a capture device, and secondly, starting to make a database for images of hands. Subsequently, all the acquired images have passed for a phase of preprocessing where they were segmented for being compared by the FullCSS algorithm. After the first tests have been processed, it was observed that the finger and wrist positions in different hand images of the same person decrease its correlation coefficient. In order to solve this problem, the wrist was removed from the images and an algorithm was developed for searching picks and valleys on fingers, and consequently, through a Warping, all the fingers could be placed in a single position improving the results of comparisons. To further projects, it is expected the increasing of images in databases with achieving more tests and adjusts that have been needed and the integration to other subsystem of BioPass focused on biometric recognition of the palm printing."],"dc:identifier.uri":["https://repositorio.ufpb.br/jspui/handle/123456789/492"],"dc:language.iso":["pt"],"dc:publisher.department":["Ciência da Computação"],"dc:subject":["Biometria","Identificação biométrica","Autenticação biométrica","Biometry","Biometric Identification","Biometric Authentication"],"dc:title":["Identificação e autenticação por análise computacional da geometria da mão."],"dc:type":["TCC"]},"updated_at":"2026-07-24T01:17:54Z"}