Template location in noisy pictures
Signal Processing
A survey of moment-based techniques for unoccluded object representation and recognition
CVGIP: Graphical Models and Image Processing
A New Methodology for Gray-Scale Character Segmentation and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multispace KL for Pattern Representation and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Picture Processing
Direct Gray-Scale Extraction of Features for Character Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rotation-invariant pattern matching using wavelet decomposition
Pattern Recognition Letters
Defect detection in textured surfaces using color ring-projection correlation
Machine Vision and Applications
Sequential Hierarchical Scene Matching
IEEE Transactions on Computers
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The pressed protuberant character is a reflectorized character based on the difference of reflectance. The quality of its image is lower than the image of the generally character based on the chromatic difference between background and foreground. So, the general quality inspecting method based on the binary-scale character cannot adapt for the protuberant character. To solve this problem, a new method of direct gray-scale feature extraction based on the ring projection algorithm and the vector sum for inspecting the quality of the pressed character is presented. The new method keeps integrity feature of the protuberant character information dramatically, and can overcome the main shortages of the traditional method on binary-scale image, such as depending on a binarization algorithm extremely, lower performance of anti-jamming. A limited set of the tag pressed protuberant characters is extracted feature and inspected by the new method. The results show that the proposed method adapts to the variant gray-scale, location and orientation of the character, can yield an excellent performance on the condition of noise and deformity, and its accuracy is 97.27%. It is easy to control the pressed character quality using to adjust the inspecting threshold value. It has highly worth applying to correlated fields.