MIDV-2019: Challenges of the modern mobile-based document OCR
Recognition of identity documents using mobile devices has become a topic of a wide range of computer vision research. The portfolio of methods and algorithms for solving such tasks as face detection, document detection and rectification, text field recognition, and other, is growing, and the scarcity of datasets has become an important issue. One of the openly accessible datasets for evaluating such methods is MIDV-500, containing video clips of 50 identity document types in various conditions. However, the variability of capturing conditions in MIDV-500 did not address some of the key issues, mainly significant projective distortions and different lighting conditions. In this paper we present a MIDV-2019 dataset, containing video clips shot with modern high-resolution mobile cameras, with strong projective distortions and with low lighting conditions. The description of the added data is presented, and experimental baselines for text field recognition in different conditions. The dataset is available for download at ftp://smartengines.com/midv-500/extra/midv-2019/.
Code (1)
Tasks
Face DetectionOptical Character Recognition (OCR)Similar Papers 제목 키워드 기반
MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream
A lot of research has been devoted to identity documents analysis and recognition on mobile devices. However, no publicly available datasets designed for this particular problem currently exist. There are a few datasets …
Face DetectionWeakly Supervised Training for Hologram Verification in Identity Documents
We propose a method to remotely verify the authenticity of Optically Variable Devices (OVDs), often referred to as ``holograms'', in identity documents. Our method processes video clips captured with smartphones under co…
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and d…
Face DetectionIDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection
Effective fraud detection and analysis of government-issued identity documents, such as passports, driver's licenses, and identity cards, are essential in thwarting identity theft and bolstering security on online platfo…
Fraud DetectionPrivacy PreservingTiny CNN for feature point description for document analysis: approach and dataset
In this paper, we study the problem of feature points description in the context of document analysis and template matching. Our study shows that the specific training data is required for the task especially if we are t…
RetrievalTemplate Matching