基于深度学习的智能OCR识别关键技术及应用研究

Research on Key Technology and Application of Intelligent OCR Recognition Based on Deep Learning

智能OCR技术作为人工智能领域的重要原子能力之一,在行业转型过程中发挥作用。对传统的OCR和基于深度学习的智能OCR技术进行对比,着重分析智能OCR技术的关键技术和部署优势;深度学习的融入实现了OCR对复杂文本的识别。其他信息化手段的综合应用,使智能OCR具备移动端适配、多任务检测、整行识别、图像分割定位和分类等功能,应用场景更加广泛,在图书情报领域中的图书文本和卡证识别会更高效。最后对智能OCR的技术发展和赋能做了展望。

As one of the important atomic capabilities in the field of artificial intelligence,intelligent OCR technology plays a role in the transformation of the industry.It compares traditional OCR and intelligent OCR technology based on deep learning,focusing on the analysis of the key technologies and deployment advantages of intelligent OCR technology.The integration of deep learning realizes the recognition of complex text by OCR.The comprehensive application of other information methods en-ables intelligent OCR to have functions such as mobile terminal adaptation,multi-task detection,whole line recognition,image segmentation positioning and classification,etc.,and the application scenarios are more extensive.Book text and card identifi-cation in the field of library information will be more efficient.Finally,the technical development and empowerment of smart OCR are prospected.