語言模型應用於中文手寫地址辨識

Language Model Based Chinese Handwriting Address Recognition

託運單中文手寫地址辨識是智慧物流領域自動化的重要挑戰，而中文手寫字的偵測與辨識是其中的核心。由於手寫字的書寫模式較印刷字複雜多變，辨識上容易誤判，且地址文字在託運單影像中占比小、文字排列緊密，易造成偵測上的困難，因此如何精準偵測託運單上的地址文字是本論文之研究重點。本論文提出託運單地址自動偵測及辨識系統，針對地址字元進行偵測與辨識，透過語言模型降低手寫字誤判的機率，提高辨識正確率。

Chinese handwritten address recognition of consignment note is an important challenge of smart logistics automation. Chinese handwritten characters detection and recognition is the key technology for this application. Since the writing mode of handwritten characters is more complex and diverse than printed characters, it is easy misjudgment for recognition. Moreover, the address text occupies a small proportion in the image of the consignment note and arranged closely, which is easy to cause difficulties in detection. Therefore, how to detect the address text on the consignment note accurately is a focus of this paper. The consignment note address automatic detection and recognition system proposed in this paper detects and recognizes address characters, reduces the probability of misjudgment of Chinese handwriting recognition through language model, and improves the accuracy.