Processing of Iris Video frames to Detect Blink and Blurred frames
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 2
Abstract
In Video based Iris Recognition system, Iris images are obtained with non-Cooperative situation. In video based system, it is time consuming to process each video frame for iris segmentation because some video frames may not contain an eye at all. The raw video frames were not processed like the still images. To improve the efficiency of iris recognition system it is important to process the video frames. Processing of video sequence is more challenging. It requires a robust and accurate method to extract frames that have only iris images. For non-cooperative users there could be many noisy video frames with different quality of iris images. Noisy video frames include blinking eye and blurred frames. In our paper we mainly concentrate on detecting these blink and blurred frames and the results are shown. The results are more accurate than the existing ones.
Authors and Affiliations
Asha latha. Bandi , Vishnu priya . Thotakura
Keywords
Related Articles
- EP ID EP103876
- DOI -
- Views 119
- Downloads 0
PAPR Reduction of OFDM signals using Selective Mapping and Partial Transmit Sequence
Orthogonal Frequency Division Multiplexing (OFDM) has been currently under intense research for broadband wireless transmission due to its robustness against multi-path fading. In multicarrier modulation, the most common...
Automata-Based Software Reliability Paradigm for Ubiquitous Systems
The paper proposes a novel paradigm for accurate reliability estimation of ubiquitous systems. The proposed prototype differs from all conventional software reliability models as it does not rely on any kind of post fail...
Comparative study about Digital Image Watermarking Using DCT and robustness testing of technique
In the today’s world of rapidly growing internet services (Commercial and educational), security always comes in picture even at low level. Same way in the field of Information Technology and Computer Science and Enginee...
CLOUDCOMPUTING WITH BIG DATA AS A SERVICE
Bigdata management is becoming crucial now a days because of the evolution of large number of social networking websites,powerful mobile devices,sensors,and cloudcomputing.According to IDC analysis,the global data volume...
Collision Avoidance Using WTRP-MAC Protocol for Clustered Wireless Sensor Network
In a clustered wireless sensor network, multiple accesses at a time lead to collision. This could cause retransmit of lost packets. It increases power consumption, decreases sensor lifetime and delay in packet transmissi...