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Handwriting Recognition
Zhi-Qiang Liu
Jin-Hai Cai
Richard Buse
其他書名
Soft Computing and Probabilistic Approaches
出版
Springer
, 2012-11-07
主題
Computers / Artificial Intelligence / General
Education / Educational Psychology
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Computers / Speech & Audio Processing
Mathematics / Applied
Technology & Engineering / Engineering (General)
Computers / Information Technology
Education / Teaching / General
Computers / Optical Data Processing
Computers / Artificial Intelligence / Natural Language Processing
Language Arts & Disciplines / Library & Information Science / General
ISBN
3540448500
9783540448501
URL
http://books.google.com.hk/books?id=_O6qCAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques.