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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

CBDA is an emerging field in Computer Vision and Pattern Recognition .In recent technology camera are attached to several equipments and are very interesting and playing a vital role by replacing scanner with hand held imaging devices like Digital Cameras, Mobile phones and gaming devices attached with the camera. Availability of High Resolution Camera has lead to new dimension in digital image processing. Mobile phones are ubiquitous and very powerful in nature due to their capability of multifunction. Camera were developed for the purpose to capture good and sad moments in life which can be remembered in the later stages of life but as the technology is being advanced new and new application are being developed for camera /Mobile devices. The goal of the work is to extract and recognize text from camera captured images based on edge based algorithms and compare the result with the existing system under different conditions. Precision and recall rates for each approach are analyzed to determine the success and limitations of each approach. The experimental results show the efficacy compared to the result of well known existing methods.

A Comparative Analysis of Different Edge Based Algorithms for Mobile/Camera Captured Images