Understanding the application of handwritten text recognition technology in heritage contexts: a systematic review of Transkribus in published research. [PDF]
Arch Sci (Dordr), 2022 Nockels J, Gooding P, Ames S, Terras M.
europepmc +1 more source
Writing about a Prime Minister: Reflections on How Malcolm Fraser PM Happened
Australian Journal of Politics &History, EarlyView.In 1989 I published Malcolm Fraser PM, a study of the way that prime minister Fraser worked. In this note I muse about the back story, about the processes involved in writing a study of a recently defeated prime minister, explaining how the book was written and what could be learnt from the interactions with Fraser.
Patrick Weller
wiley +1 more source
Handwritten Text Recognition [1]
, 2014 -This text recognition lays emphasis on technique to recognize handwritten English characters using MATLAB. Here a novel solution is proposed for performing English character recognition. Handwritten character can be converted into the text.
core
Probabilistic multi-word spotting in handwritten text images [PDF]
, 2019 [EN] Keyword spotting techniques are becoming cost-effective solutions for information retrieval in handwritten documents. We explore the extension of the single-word, line-level probabilistic indexing approach described in our previous works to allow ...
Toselli, Alejandro Héctor +3 more
core +1 more source
Too Little, Too Weak? Paid Parental Leaves in Philippine Collective Bargaining Agreements
British Journal of Industrial Relations, EarlyView.ABSTRACT When statutory work–family entitlements are deemed insufficient, workers often rely on collective bargaining to secure better terms. However, the extent to which unions can deliver higher than statutory benefits remains underexplored, especially in developing countries with decentralized bargaining systems and low union salience. Bridging this
Vincent Jerald Ramos
wiley +1 more source
Effectiveness of artificial neural networks in recognising handwriting characters
Journal of Computer Sciences Institute, 2018 Artificial neural networks are one of the tools of modern text recognising systems from images, including handwritten ones. The article presents the results of a computational experiment aimed at analyzing the quality of recognition of handwritten digits
Marek Miłosz, Janusz Gazda
doaj +1 more source
Handwritten Text Recognition for Low Resource Languages
CoRR21 ...
Sayantan Dey +2 more
openaire +2 more sources
Class Angular Distortion Index for Dimensionality Reduction
Computer Graphics Forum, EarlyView.Abstract Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high‐level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure clusters while local methods can over‐emphasize them.
Kaviru Gunaratne +2 more
wiley +1 more source
Offline Recognition of Large Vocabulary Cursive Handwritten Text [PDF]
This paper presents a system for the offline recognition of cursive handwritten lines of text. The system is based on continuous density HMMs and Statistical Language Models. The system recognizes data produced by a single writer.
Bunke, Horst +2 more
core +1 more source
Input Visualizations to Track Health Data by Older Adults with Multiple Chronic Conditions
Computer Graphics Forum, EarlyView.Abstract Older adults living with multiple chronic conditions (MCC) can considerably benefit from collecting and reflecting on their health data. Many older adults collect their health data using various approaches, such as digital tools or handwritten notebooks.
Shri Harini Ramesh +4 more
wiley +1 more source