Recognition of the Iris is among the finest techniques in the field of bio-metrics identification, because the iris has characteristics that are unique and stay the same all through the individual’s life. Iris recognition phases are namely image acquisition, segmentation of iris, localization of iris, feature extraction of iris and matching. This paper, which is an extension of the survey paper Smaran et.al[1], concentrates purely on the procedures of image capture, segmentation as well as localization of the iris. The aim of the paper is to optimize the above mentioned processes in terms of distance of capturing the image, time taken for memory and computation requirements, using the DRP (Dynamic Re-Configurable Processor) technology, uniquely developed by Renesas Electronics (www.renesas.com).
Gathering intelligence plays a vital role in safeguarding a nation from insurgency and offensive military strikes from hostile countries. It is recommended to provide logistic support to the armed forces constantly thereby keeping them informed of the ground situation and alert them in advance to acquire an advantage. Surveillance is achieved via satellite imaging. Such confidential images captured are to be transmitted in real time securely to avoid any third party from interpreting them. This can be obtained by utilizing Visual Cryptography. Visual Cryptography secret image sharing ensures security of the transmitted information by splitting a secret image into n shares which are owned by n participants to prevent the secret from accidentally being lost. Existing algorithms provide solutions for problems such as secret information leaking from shares, attack on share images and large share image issues but their time complexity is still debatable. Therefore, the proposed Quadri directional search algorithm technique can be implemented for encrypting the information.
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