Pattern Analysis Software Tools

HAT3 is a software tool that can be used to analyse handwriting styles. Multiple and different handwriting styles can be analysed concurrently and sorted according to their similarity to a questioned or unknown style. A similarity score can be calculated for each predefined style to create a relative comparison between them with respect to an unknown style.

The VPD is an efficient and easy-to-use software tool for pattern detection. This tool can be used to recognise and allocate visual patterns (such as words, drawings and seals) automatically in digitised manuscripts. The recall-precision balance of detected patterns can be controlled visually, and the detected patterns can be saved as annotations on the original images or as cropped images depending on the needs of users.

ScriptSight is a software tool that can be used to explore and sort collections of document-page images using their AI-generated ‘computational visual catalogues’. Multiple visual attributes, such as text orientation, used writing implements (pencil versus ink), and text colour, can be filtered concurrently to isolate pages matching the specified criteria. Matching pages can be previewed as thumbnails with optional overlays indicating detected text regions, and and saved as organised, date-stamped folders for review or further processing.

The main goal of the LDT is to analyse images of writing supports in order to detect lines (such as sieve imprints or papyri fibres) and estimate their density. These detected lines form a pattern, which can be used as a distinctive feature of the writing support.

The main goal of this software tool is to detect, count and mark the text lines in images of handwritten manuscripts. This version contains features to detect vertical text-lines and bright text-lines on darker background.

The main goal of the XRF-DAT is to analyse tabular data generated by X-ray Fluorescence (XRF) spectroscopy in order to ease and speed up the processing and evaluation of data obtained when analysing written artefacts; in particular their inks, pigments and writing supports.

The main goal of AFAT is to calculate statistical information from manually generated tabular data which consists of distinctive features of artefacts. The value of each feature in these tables is represented by a positive integer, which describes the particular variant of this feature in an artefact. Furthermore, each variant can have any number of variations, represented by an alphabetical letter. The combination of variant and variation can be used to describe the observed version of a given feature in an artefact.

V-SAT is designed to streamline the organisation of image collections. Whether you have a structured folder hierarchy or a jumble of unsorted images, the tool simplifies the process. Once organised, the software enables users to export their curated collections. The main goal of this tool is to enable experts to create training datasets for similarity-based models such as siamese networks and supervised clustering.