Enhanced discrete cosine transformation feature based iris recognition using various scanning techniques

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON) Pub Date : 2017-10-01 DOI:10.1109/UPCON.2017.8251128

P. Samant, R. Agarwal, A. Bansal

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引用次数: 5

Abstract

Distinctive and irreversible features of the iris make its most secure and trustworthy biometric modality for person identification. This paper presents the comparison of various scanning techniques for feature extraction in iris recognition. Iris localization and segmentation was performed using Circular Haugh Transformation, which estimates the parameters of iris using edge map. Normalization on the segmented iris was performed using Rubber sheet model, to convert the circular iris in-to a rectangle of fix dimension. Thereafter Discrete Cosine Transformation coefficients were extracted from the normalized iris using different scanning techniques. The scanning techniques used are Zigzag, Raster, and Saw-tooth. Experimental results show the promising performance of Raster Type-II scanning technique with 100 coefficients. The database used for the observations is CASIA iris database version-IV. The analysis and experimental results show that proposed scheme can be used in iris recognition systems for better performance.

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基于各种扫描技术的增强离散余弦变换特征虹膜识别

虹膜独特的不可逆特性使其成为最安全、最可靠的生物识别方式。本文对虹膜识别中用于特征提取的各种扫描技术进行了比较。利用圆形哈夫变换对虹膜进行定位和分割，利用边缘图估计虹膜的参数。利用橡胶片模型对分割后的虹膜进行归一化处理，将圆形的虹膜转换为固定尺寸的矩形。然后利用不同的扫描技术从归一化虹膜中提取离散余弦变换系数。使用的扫描技术有锯齿形、栅格和锯齿形。实验结果表明，100系数栅格ii型扫描技术具有良好的性能。观测使用的数据库为CASIA iris数据库version-IV。分析和实验结果表明，该方法可用于虹膜识别系统，具有较好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 4th IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (UPCON)

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