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

Optical Braille Character Recognition (OBR) system is in great need inorder to restore the old Braille documents to make them available for the large section of visually impaired people. The recognition of the double sided Braille dots is a challenging task due to the overlapping of the front side dots with back side dots in an inter-point Braille. The fact that the Braille documents can be acquired with varied resolution makes the usual method of template matching fail. To address this issue, this paper introduces a new system that is capable of differentiating the recto and verso dots from an Inter-point Braille document even with varied resolutions. The primary reason for selecting the Hindi Devanagari Braille is that, Hindi is the national language of India and OBR for Hindi Braille is not available. This effort of OBR development for Hindi Devanagari Braille has been done for the first time. The proposed system is more efficient than the other state of the art techniques in terms of computation time and accuracy. Keywords—Bharati-Braille; Connected Component labelling; Projection profile; Recto; Verso.

An Adaptive Approach for Optical Recognition of Inter-Point Hindi Devanagari Braille and its Transcription to Text