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/

Zendy Plus

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

Zendy Tools

Zendy Open

There is a large collection of Handwritten English paper documents ofHistorical and Scientific importance. But paper documents are not recognizeddirectly by computer. Hence the closest way of indexing these documents is bystoring their document digital image. Hence a large database of document imagescan replace the paper documents. But the document and data corresponding toeach image cannot be directly recognized by the computer.  This paper applies the technique of word spotting using Modified CharacterShape Code to Handwritten English document images for quick and efficient querysearch of words on a database of document images. It is different from otherWord Spotting techniques as it implements two level of selection for wordsegments to match search query. First based on word size and then based oncharacter shape code of query. It makes the process faster and more efficientand reduces the need of multiple pre-processing.

Word Spotting in Cursive Handwritten Documents using Modified Character Shape Codes