Shu-Jen Liu

Academia Sinica, Institute of Statistical Science, Academia Sinica

Papers

Total Citations

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About

Shu-Jen Liu is a pioneering researcher in the field of automated recognition systems, with a focused expertise in neural network-based bar code technologies. Her major contributions center on developing intelligent, camera-based bar code recognition systems that overcome the limitations of traditional laser scanners. Notably, her 1995 work on a bar-code recognition system using backpropagation neural networks, which has garnered 15 citations, laid the groundwork for more flexible, distance-tolerant scanning methods. She further advanced this field with her 2005 paper on camera-based bar code recognition using neural nets, cited 14 times, which addressed the critical constraint of laser readers requiring precise proximity to function. By replacing laser systems with camera-based imaging and neural network processing, Liu’s research enables bar code recognition from varied distances and angles, significantly improving checkout efficiency and user convenience. Her work represents an important bridge between classical pattern recognition and modern deep learning applications, offering practical solutions for retail and logistics industries. Liu’s achievements demonstrate a sustained commitment to solving real-world problems through innovative neural network architectures.