Search Results for author:
Found 6 papers, 4 papers with code
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 document authenticity validation given photos, scans, or video frames of an identity document capture.
Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video
In this paper, we consider a task of stopping the video stream recognition process of a text field, in which each frame is recognized independently and the individual results are combined together.
Methods of Weighted Combination for Text Field Recognition in a Video Stream
Due to a noticeable expansion of document recognition applicability, there is a high demand for recognition on mobile devices.
Next integrated result modelling for stopping the text field recognition process in a video using a result model with per-character alternatives
This paper is directed on extending the stopping method based on next integrated recognition result modelling, in order for it to be used within a string result recognition model with per-character alternatives.
MIDV-2019: Challenges of the modern mobile-based document OCR
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.
MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream
The main goal of this paper is to present a dataset.
