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making a model of a hand. Delta points and minutiae ABSTRACT only can be extracted from the fine-resolution images. Lines and texture are the most clearly observable Abstract -Palmprint-based personal identification features in low-resolution palmprint images (such as is regarded as an effective method for automatically 100 dpi). Principal lines and wrinkles, called line recognizing a person's identity. It is well-known for features, are more appealing than texture for the several advantages such as stable line features, low-human vision. When human beings compare two resolution imaging, low-cost capturing device, and user palmprint images, they instinctively compare line friendly. This paper presents a new approach to identify features. This action motivates us to develop a palmprint using modified line-based Hausdorff Distance. matching scheme for the palm lines.Line Edge Map (LEM) of palmprint is extracted as the A line contains various information including feature used for identifying. Length, position, and length, position, orientation, width, and magnitude. orientation information of the palm lines are fully Line position is often considered as an important utilized for palmprint matching. In contrast to the fe peciall for line-based asraches. It is existing methods, our approach achieves higher feature, especially for line-based approaches. It is accuracy. It is able to yield 100% identification worthwhile to note that no previous palmprint accuracy and 0% EER using the public palmprint research has investigated the length, position, and databse provided by PolyU.orientation information of the palm lines for

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Palmprint-based personal identification B regarded as an effective method for automaticalIy recognizing a person's identity. In addition, it requires no special hardware except a normal digital camera. This paper presents a new approach to identify palmprint using Hausdorff Distance. Line Edge bhp GEM) of palmprint is extracted as the feature used for identifying. This system employs low resolution palmprint images to achieve effective personal identification+ In contrast to the existing methods, our approach is robust to noise, occlusion, and skewing.