Отрывок: Secondly, in Jaccard distance terms there is no difference between a shift of the document boundaries outwards and in- wards, while the latter is worse for further document analysis, as parts of the document content may be lost in such a way. Thus, some algorithms of fixed-layout documents location use different definitions of the metric function, for example, the maximal discrepancy of the corner position [77]: 1 2 ( , ) 2 ( , ) 1 2 2 max || ||( , ) , min || |...
Название : | Towards a unified framework for identity documents analysis and recognition |
Авторы/Редакторы : | Bulatov, K.B. Bezmaternykh, P.V. Nikolaev, D.P. Arlazarov, V.V. |
Ключевые слова : | optical character recognition document recognition document analysis identity documents recognition system mobile recognition video stream recognition |
Дата публикации : | Июн-2022 |
Издательство : | Самарский национальный исследовательский университет |
Библиографическое описание : | Bulatov KB, Bezmaternykh PV, Nikolaev DP, Arlazarov VV. Towards a unified framework for identity documents analysis and recognition. Computer Optics 2022; 46(3): 436-454. DOI: 10.18287/2412-6179-CO-1024. |
Серия/номер : | 46;3 |
Аннотация : | Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and preventing fraud, with an increasingly high cost of error. A significant amount of research is directed to the creation of ID analysis systems with a specific focus for a subset of document types, or a particular mode of image acquisition, however, one of the challenges of the modern world is an increasing demand for identity document recognition from a wide variety of image sources, such as scans, photos, or video frames, as well as in a variety of virtually uncontrolled capturing conditions. In this paper, we describe the scope and context of identity document analysis and recognition problem and its challenges; analyze the existing works on implementing ID document recognition systems; and set a task to construct a unified framework for identity document recognition, which would be applicable for different types of image sources and capturing conditions, as well as scalable enough to support large number of identity document types. The aim of the presented framework is to serve as a basis for developing new methods and algorithms for ID document recognition, as well as for far more heavy challenges of identity document forensics, fully automated personal authentication and fraud prevention. |
URI (Унифицированный идентификатор ресурса) : | https://dx.doi.org/10.18287/2412-6179-CO-1024 http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Towards-a-unified-framework-for-identity-documents-analysis-and-recognition-103042 |
Другие идентификаторы : | Dspace\SGAU\20230413\103042 Dspace\SGAU\20230426\103042 Dspace\SGAU\20230503\103042 |
Располагается в коллекциях: | Журнал "Компьютерная оптика" |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
2412-6179_2022_46-3_436-454.pdf | Основная статья | 10.36 MB | Adobe PDF | Просмотреть/Открыть |
Показать полное описание ресурса
Просмотр статистики
Поделиться:
Все ресурсы в архиве электронных ресурсов защищены авторским правом, все права сохранены.