Recently, Biometrics-based personal identification is regarded as an effective method of person's identity with recognition automation and high performance. In this paper, the palmprint recognition method based on Hu invariant moment is proposed. And the lowresolution(75dpi) palmprint image(135×135 Pixel) is used for the small scale database of the effectual palmprint recognition system. The proposed system is consists of two parts: firstly, the palmprint fixed equipment for the acquisition of the correctly palmprint image and secondly, the algorithm of the efficient processing for the palmprint recognition. And the palmprint identification step is limited 3 times. As a results, when the coefficient is 0.001 then FAR and GAR are 0.038% and 98.1% each other. The authors confirmed that FAR is improved 0.002% and GAR is 0.1% each other compared with online palmprint Identification algorithm..

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In this paper we present an ultra-low cost eye gaze tracker specifically aimed at studying visual attention in 3D virtual environments. We capture camera view and user eye gaze for each frame and project vectors back into the environment to visualize where and what subjects view over time. Additionally we show one measure of calculating the accuracy in 3D space by creating vectors from the stored data and projecting them onto a fixed sphere. The ratio of hits to non-hits provides a measure of 3D sensitivity of the setup.

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