Research of Embedded Handwritten Alphanumeric Recognition System
Kechao Wang, Mingshu Shang, Zhizheng Liu, Xiangmin Ren
Available Online December 2018.
- https://doi.org/10.2991/tlicsc-18.2018.58How to use a DOI?
- Handwritten Recognition; Alphanumeric String; Support Vector Machine; OpenCV.
- With the growing maturity of Internet of things, more and more hardware devices are developing towards intellectualization. Handwriting plays an increasingly important role in people's lives. However, due to the different writing habits, the character shape varies greatly. At present, the recognition effect scanners, mobile robots and other devices for handwritten characters is difficult to meet the needs. In this context, a handwritten alphanumeric string recognition system based on embedded development platform is developed. S3C2440 development board is selected as the hardware platform. OpenCV is used for image processing, and support vector machine (SVM) classification technology is used to realize the recognition of handwritten letters and digits. The system has the advantages of low power consumption and less memory consumption. It can be transplanted to various embedded devices to quickly identify handwritten alphanumeric strings and provide services for users in many fields such as mail sorting, report statistics and so on.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Kechao Wang AU - Mingshu Shang AU - Zhizheng Liu AU - Xiangmin Ren PY - 2018/12 DA - 2018/12 TI - Research of Embedded Handwritten Alphanumeric Recognition System BT - Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018) PB - Atlantis Press SP - 364 EP - 368 SN - 1951-6851 UR - https://doi.org/10.2991/tlicsc-18.2018.58 DO - https://doi.org/10.2991/tlicsc-18.2018.58 ID - Wang2018/12 ER -