Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research interests include Computer science, Artificial intelligence, Pattern recognition (psychology), Feature (linguistics), Feature extraction, and Scripting language.
A comprehensive review of non-Latin natural scene text detection and recognition techniques
<scp>AENet</scp>: Image Retrieval of Kazakh Handwritten Documents Based on Attention Mechanism and Feature Aggregation
TextViTCNN: Enhancing Natural Scene Text Recognition with Hybrid Transformer and Convolutional Networks
Scene Uyghur Text Detection Based on Adaptive Feature Fusion
FAS-Res2net: An Improved Res2net-Based Script Identification Method for Natural Scenes
EA-ConvNeXt: An Approach to Script Identification in Natural Scenes Based on Edge Flow and Coordinate Attention
Scene Uyghur Text Detection Based on Fine-Grained Feature Representation
Scene Uyghur Recognition with Embedded Coordinate Attention
A Method of Text Detection and Script Identification in Natural Scene
Deep Learning of Binary Hash Codes for Fast Handwritten character Retrieval
Script Identification of Multilingual Document Images Based on Block Finite Ridgelet Transform and Discrete Curvelet Transform
Off-Line Handwritten Signature Recognition Based on Discrete Curvelet Transform
Script Identification of Central Asia Based on Fused Texture Features
HMM-Based Off-Line Uyghur Signature Recognition
Estimation of Body Size by Combining Genetic Algorithm with Human Body Model
Script Identification Based on Nonsubsampled Contourlet Transform
Uyghur Off-line Signature Recognition Based on Modified Corner Curve Features