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  1. No Access

    Chapter and Conference Paper

    An Improved Lightweight Network Based on MobileNetV3 for Palmprint Recognition

    In recent years, there has been an increasingly urgent need for individual identification in various application scenarios. Palmprint has numerous advantages due to its uniqueness and security. Deep learning b...

    Kaijun Zhou, Kaiwen Deng, Peng Chen, Yiliang Hu in Pattern Recognition and Computer Vision (2022)

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    Chapter and Conference Paper

    Low-illumination Palmprint Image Enhancement Based on U-Net Neural Network

    Palmprint has a high application prospect due to the stability, uniqueness, difficulty of reproduction, easy acquisition and high user acceptance of its own texture characteristics. However, palmprint images a...

    Kaijun Zhou, Duojie Lu, **ancheng Zhou, Guangnan Liu in Biometric Recognition (2022)

  3. No Access

    Chapter and Conference Paper

    PSU-Net: Paired Spatial U-Net for Hand Segmentation with Complex Backgrounds

    Hand segmentation, as a key part of human-computer interaction, palmprint recognition and gesture recognition, is prone to interference from complex backgrounds subsequently resulting in poor segmentation accu...

    Kaijun Zhou, Wen**g Qi, Ziqiang Gui, Qi Zeng in Pattern Recognition and Computer Vision (2022)

  4. No Access

    Chapter and Conference Paper

    Region of Interest Extraction for Closed Palm with Complex Background

    The tilt of the closed palm can make it impossible to accurately locate the region of interest (ROI) in contactless palmprint recognition systems. In order to accurately extract the closed palm ROI in the tilt...

    Kaijun Zhou, **aoyong Sun, **ancheng Zhou, Qi Zeng in Biometric Recognition (2023)