a-IGZO 3T-2C Pixel Circuit-Based Active-Matrix Self-Capacitive Fingerprint Sensor Array for Full-Area Multi-Identity Recognition
This study proposes an active-matrix self-capacitive touch-fingerprint sensor array using three standard staggered amorphous indium gallium zinc oxide (a-IGZO) thin-film transistors (TFTs) and two capacitors (3T-2C) pixel circuit architecture. TCAD simulations demonstrate that touch-induced self-capacitance modulates the gate potential of the sensing TFT, producing contact-area dependent output current. Moreover, SPICE circuit simulations confirm the pixel circuitfs transient response to touch events. Finally, a 256 × 256-pixel sensor array with a pixel size of 85 μm × 85 μm (298 ppi) is manufactured, achieving an exceptionally high signal-to-noise ratio (SNR) exceeding 114.40 dB. Furthermore, multi-identity recognition is demonstrated by combing the full-area sensor array with a specific signal processing algorithm. This work provides a manufacturable high-performance touch-fingerprint pixel circuit design for large-scale human-machine interaction interfaces with enhanced security.
Authors
- Wei Tang (ORCID: https://orcid.org/0000-0003-1134-3730)
- Jun Li (ORCID: https://orcid.org/0009-0004-7512-0338)
- Zhifan Zhang (ORCID: https://orcid.org/0000-0001-9733-4979)
- Xiaojun Guo (ORCID: https://orcid.org/0000-0003-3946-9458)
- Yu Huang (ORCID: https://orcid.org/0009-0004-4329-2506)
- Zhu Mei (ORCID: https://orcid.org/0009-0000-3634-3134)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Journal
- IEEE Journal of the Electron Devices Society
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jeds.2025.3619262
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00