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 →

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 →