• Venkata Rathnam Korukonda
• Dr. E. Sreenivasa Reddy

Biometric verification and detection includes detection of biometric, tracking of active and inactive templates and assessment through data comparison and processing. To enhance accuracy of the biometrics, the dynamic multi-modal biometrics based applications systems framework dynamically couples image processing with statistical models to enhance system performance. Due to heterogeneity nature of biometrics from person to person, it is very challenging to build an efficient biometric authentication system, which could either be a performance bottleneck or the single point of failure. Henceforth due to complexity of IRIS biometric and image processing technology, this paper introduces a theoretical overview of different techniques that incorporate a decentralized area selection within the IRIS for template formulation and authentication to enable effective protection. To achieve secure identity authentication, the image processing leverages the texture detection to create virtual trust blocks, in which distributed components could identified and update the template. A detail comparison between the existing systems and shortcomings in the approaches would be presented.

Biometric, IRIS, texture detection, authentication, image processing

"IRIS BASED TEXTURE ANLAYSIS FOR VERIFCATION AND DETECTION: REVISIT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.285-290, April-2019, Available :http://www.jetir.org/papers/JETIRAZ06063.pdf

"IRIS BASED TEXTURE ANLAYSIS FOR VERIFCATION AND DETECTION: REVISIT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp285-290, April-2019, Available at : http://www.jetir.org/papers/JETIRAZ06063.pdf