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This paper presents an effective and efficient approach for animals Iris recognition by analyzing the iris patterns as these patterns are statistically unique and are suitable for biometric measurement by using rectangular area detection algorithm. The unique identification of any animal concerned can be determined and verified by data set as patterns of bits which lead to identification of Iris patterns[1–2]...
A new iris recognition system based on Wavelet Packet Analysis and Morlet wavelet is described. Morlet wavelet calculations are easy compared to Gabor wavelets. Moreover Gabor wavelet based iris recognition system is patented which blocks its further development. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's...
This paper propose a biometric personal identification method based on a pair of right and left sole pressure distribution change. We acquire the sole pressure distribution change by load distribution sensor and use it for a personal identification. We employ twelve features based on shape of footprint, and twenty seven features based on movement of weight during walking for each sole pressure data...
This paper presents the iris recognition system for biometric personal identification using neural network. Personal identification consists of localization of the iris region and generation of a data set of iris images followed by iris pattern recognition. In this paper, a fast algorithm is proposed for the localization of the inner and outer boundaries of the iris region. Located iris is extracted...
A new iris recognition system based on complex wavelet Transforms is described. In this work iris recognition based on Gabor wavelet and Morlet wavelet are described. The most unique phenotypic feature visible in a person's face is the detailed texture of each eye's iris. The visible texture of a person's iris is encoded into a compact sequence of 2-D wavelet coefficients, which generate an ldquoiris...
In this paper, we propose a personal identification by sole pressure change. We obtain sole pressure change of multiple steps by using two pressure sensor sheets. Each pressure sensor sheet is inserted into each shoe as an inner sock. Then, we extract characteristics of sole pressure change from the obtained data. We make template data of both feet from the extracted characteristics. We propose a...
In this paper, we propose a personal identification method using sole information. We employ pressure changes of sole in walking. First, we do a preliminary examination using a load distribution sensor. We employ a neural network for a personal identification method. As the result, we show a possibility of an identification system by sole information using the load distribution sensor. Based on the...
This paper presents biometric personal identification based on iris recognition using neural networks. Personal identification system consists of localization of the iris region and generation of data set of iris images and then iris pattern recognition. In this paper, fast algorithm is proposed for the localization of the inner and outer boundaries of the iris region. Located iris is extracted from...
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention over the 1990s. Iris recognition, as an emerging biometric recognition approach is becoming a very active topic in both research and practical applications. Iris recognition is the process of recognizing a person by analyzing the apparent pattern of his or her iris...
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