English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

A document-form identification method based on constellation matching of targets is proposed. Mathematical analysis shows that the method achieves a high identification rate by preparing plural targets. The method consists of two parts: (i) extraction of targets such as important keywords in a document by template matching between recogised characters and word strings in a keyword dictionary, and (ii) analysis of the positional or semantic relationship between the targets by point-pattern matching between these targets and word location information in the keyword dictionary. All characters in the document are recognised by means of a conventional character-recognition method. An automatic keyword-determination method, which is necessary for making a keyword dictionary beforehand, is also proposed. This method selects the most suitable keywords from a general word dictionary by measuring the uniqueness of keywords and the stability of their recognition. Experiments using 671 sample documents with 107 different forms in total confirmed that (i) the keyword-determination method can determine sets of keywords automatically in 92.5% of 107 different forms and (ii) that the form-identification method can correctly identify 97.1% of 671 document samples at a rejection rate 2.9%.

Document-Form Identification Using Constellation Matching of Keywords Abstracted by Character Recognition