نتایج جستجو برای: iris segmentation and recognition
تعداد نتایج: 16872211 فیلتر نتایج به سال:
In eye authentication process, the pupil detection is most crucial step to recognize the eye. In eye, iris and sclera are used as the previous inputs using to recognize the eye with different mechanisms like segmentation combining with different versions. The inner edge in the eye is not a normal circle, which may create problem in accurate recognition. In segmentation process, if the image is ...
the purpose of the present study was to investigate the effect of task-based instruction of vocabulary on the receptive and oral productive acquisition of english vocabulary and compare the results with those obtained from the traditional method. the method and procedure applied in this study was as follows: after the implementation of opt, a group of sixty female students were chosen. the stu...
Iris segmentation is an important phase in iris recognition and identifies the accuracy of preprocessing. This paper proposes improved peak detection algorithm to locate the pupil accurately. The modified peak detection algorithm determines the optimal peak wh ich helps for pupil localization. Thresholding is done based on the peak determined. Finally canny edge detector is applied on the binar...
In this chapter, the authors propose and implement an improved iris recognition method based on image enhancement and heuristics. They make major improvements in the iris segmentation phase. In particular, the authors implement the raised to power operation for more accurate detection of the pupil region. Additionally, with their technique they are able to considerably reduce the candidate limb...
Information security is concerned with the assurance of confidentiality, integrity and availability of information in all forms. It provides an identification based on a unique feature or characteristic possessed by the individual. Among various techniques, Iris recognition is a rapidly expanding method of biometric technology. A wide variety of recognition schemes is used to either confirm or ...
Pupil and iris segmentation based on ellipsis or circle recognition are sensitive to light reflections reflected images. The method presented here is independent of size shape at the same time insensitive mirror pupil detected using algorithm can be a reference point further sclera eye as well iris. also effective when not positioned perpendicularly camera eye. algorithm’s average accuracy for ...
abstract lexical knowledge of complex english words is an important part of language skills and crucial for fluent language use (nation, 2001). the present study, thus, was an attempt to assess the role of morphological decomposition awareness as a vocabulary learning strategy on learners’ productive and receptive recall and recognition of complex english words. so 90 sophomores (female and ma...
The importance of personal authentication is gradually increasing with the development of the information society. Biometrics identification technology plays an important role in cyberspace. Unlike other biometrics such as the face or fingerprints, iris recognition has high reliability for personal identification. Iris recognition methods are classified into four categories: the phase-based met...
In this paper an automatic segmentation method for accurate pupil boundary detection for iris recognition purpose using graph cuts is presented. Most iris segmentation algorithms used for iris recognition consider the pupil as a circular area and fit a circle to its boundary. Considering the pupil to be a circle is a method which is sensitive to the imaging condition because in the case of off ...
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