Chip character anti-interference identification method and device

Abstract

The invention relates to a chip character recognition method, in particular to a chip character anti-interference recognition method, which comprises the following steps of: (1) setting a camera and a light source; (2) calling a template, acquiring a frame of image by a camera, matching the frame of image with the template, and extracting a chip image only containing a chip; (3) extracting a chip character image only containing a character region; (4) sequentially carrying out noise reduction processing and threshold segmentation on the chip character image to obtain a binary image, and carrying out character segmentation on the binary image to obtain single characters; (5) performing character defect detection to obtain defect characters; (6) performing defect character optimization and character recognition: (6-1) performing defect character optimization; and (6-2) performing artificial neural network character recognition to obtain a final character string. According to the method, part of interference of the environment can be effectively reduced during image acquisition, errors of the placement angle of the chip are prevented, and the method cooperates with other detection equipment, so that the labor cost is remarkably reduced, and the production efficiency is improved.

Description

technical field [0001] The invention relates to a chip character recognition method, in particular to a chip character anti-interference recognition method and device. Background technique [0002] Chip is an important product in the information age. It is widely used in various electronic devices, which promotes the progress of the whole society, and is also an important factor affecting the development of high-end manufacturing. The manufacturing process of the chip is extremely complex and precise, and each production step needs to be strictly controlled, so the quality inspection of the chip is particularly important. The surface of the chip package contains character information such as model number, serial number, and batch number, which can be traced back to its source. Therefore, chip character detection is of great significance as an important part of chip quality detection. At present, chip character detection is mostly performed by manual intervention for viewing...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention provides a method whose purpose is to replace manual character recognition and solve the problems of high cost, low efficiency and low accuracy of manual detection. Positioning and defect character anti-jamming ability, poor versatility and stability, etc., propose an efficient, accurate and strong anti-jamming ability combined with deep learning and machine vision, a universal and stable chip character anti-jamming recognition method, specific technical solutions as follows:

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