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  1. No Access

    Article

    Multi-scale discriminant representation for generic palmprint recognition

    Palmprint shows great potential in biometric-based security due to its advantages of great stability, easy collection, and high accuracy. However, with insufficient training samples, how to extract discriminat...

    Lingli Yu, Qian Yi, Kaijun Zhou in Neural Computing and Applications (2023)

  2. 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)

  3. No Access

    Article

    Occlusion tolerant object recognition using visual memory selection model

    The object image is occluded by obstacles or some of its pixels are removed, which results in incomplete features of the object image and increases the difficulty of object recognition. Aiming at the problem, ...

    Mingyue **, Lingli Yu, Kaijun Zhou, Qian Yi in Applied Intelligence (2022)

  4. 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)

  5. No Access

    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)

  6. 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)

  7. No Access

    Article

    Multi-channel biomimetic visual transformation for object feature extraction and recognition of complex scenes

    Object recognition occurs accurately with human visual neural mechanism despite in different complex background interference. For computer system, it is still a challenging work of object recognition and class...

    Lingli Yu, Mingyue **, Kaijun Zhou in Applied Intelligence (2020)

  8. No Access

    Article

    Traffic sign detection based on visual co-saliency in complex scenes

    Co-saliency detection aims at finding the salient regions from multiple images which capture the focus of human visual system. In this paper, a novel visual co-saliency algorithm is proposed, which adopts thre...

    Lingli Yu, Xumei **a, Kaijun Zhou in Applied Intelligence (2019)