Abstract

This paper designs and implements a model base on tensorflow framework in Python language to complete the identification of ID card number. Firstly, the image of ID card is preprocessed by a computer vision library (OpenCV), including angle correction, grayscale and binarization and so on. Secondly, an algorithm is used to project the image, and obvious projection peak area is number area, meanwhile the number area of ID card is determined, character segmentation is carried out by using the fixed width height ratio and spacing of characters. And then the data set is trained by the convolutional neural network. Finally, the character segmentation is recognized and the ID card number is output. In the end, the model is tested to show that the training speed is fast, the recognition and identification accuracy is high, and the convolutional neural network(CNN) has a certain value.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.