The enhancement of document images describes the task of improving the visual quality of document images. Thus, degradations (like background clutter or uneven illumination) can be removed. Enhancement can be used as a preprocessing step for further document image analysis methods – including text recognition. Goal The aim of this internship is to select an … Continue reading Document image enhancement
An often used preprocessing step in text recognition systems is text line detection. The aim of this internship is to implement an existing method for text line detection. Goal Implement an existing method, which is introduced in [1]. Compare the results of your implementation with results gained in the original work. Workflow Literature review Data … Continue reading Text Line Detection
Offline Handwritten Text Recognition (HTR) describes the task of transcribing handwritten text into digital texts. Compared to Optical Character Recognition (OCR), HTR is much more challenging and still an open problem.Recently, a transformer based framework named TrOCR was suggested in [1]. Goal The aim of this internship is to fine-tune existing HTR models in [1] … Continue reading Handwritten Text Recognition
Supervisor: Fabian Hollaus The quality of photographs of single document pages or book pages is often limited by distortions. Dewarping techniques can be used in order to remove such distortions, i.e. rectify the document images. Goal The aim of this work is to implement a document image dewarping algorithm. The method should make use of … Continue reading Document Dewarping
2021 Wien „MENSCHZENTRIERTE KI-FORSCHUNG: faire Algorithmen”, Wirtschaftsagentur Wien, Austrian Institute of Technology, June 15th, Online Presentation. Wien „Social Tech – Assistierende Technologien erfolgreich pilotieren”, Wirtschaftsagentur Wien, Business Treff, Aug. 31st, Invited Presentation Wien „Pflege, Demenz und Künstliche Intelligenz”, Digitaler Humanismus: digital Health: TU Wien und Wirtschaftsagentur Wien, Business Treff, Oct 20th, Invited Presentation … Continue reading Martin Kampel – Presentations
Supervisor: Fabian Hollaus Description In the DI4DH project we are developing the DocScan app, which is dedicated to the imaging of documents. Your task is to refine the app, or to implement new tasks. Tasks that can be implemented are for example: Camera control using CameraX Save settings using Room persistence library Workflow Definition of … Continue reading Mobile app development
This dataset is named MSBin which stands for MultiSpectral Document Binarization. The dataset is dedicated to the (document image) binarization of multispectral images. A description of the dataset is given at https://github.com/hollaus/msbin. The dataset can be downloaded from Zenodo: The dataset is introduced in: Fabian Hollaus, Simon Brenner, Robert Sablatnig: CNN Based Binarization of MultiSpectral … Continue reading MSBin – MultiSpectral Document Binarization
Indoor Skeleton Tracking Dataset Description This database contains skeleton tracking information obtained by the Asus Xtion pro live sensor in combination with OpenNI. It contains 3 different indoor environments: 90 days of tracking data from a living room, 74 days of tracking data within a kitchen as well as 20 days of tracking data within … Continue reading Indoor Skeleton Tracking Dataset
An Off-line Database for Writer Retrieval, Writer Identification and Word Spotting The CVL Database is a public database for writer retrieval, writer identification and word spotting. The database consists of 7 different handwritten texts (1 German and 6 Englisch Texts). In total 310 writers participated in the dataset. 27 of which wrote 7 texts and … Continue reading CVL-Database
Introduction Handwriting recognition is an open research topic in the document analysis community. We provide two new, freely available real world datasets for an established problem. The competition consists of two independent tasks, namely segmented single Arabic digits and Arabic digit strings. Contributions will be accepted for either of the competitions. The dataset of segmented … Continue reading ICDAR2013 – Handwritten Digit and Digit String Recognition Competition