Call Number Text Image Segmentation System

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Resource Overview

This comprehensive program implements a complete optical character recognition pipeline featuring: call number text image segmentation with connected component analysis; adhesive character splitting using projection-based algorithms; OCR text recognition; color license plate segmentation through color space transformation; trademark text segmentation with edge detection techniques; recognition sub-functions utilizing pattern matching; and structural feature extraction sub-functions employing morphological operations.

Detailed Documentation

The program architecture presented in the document consists of the following core components:

- Call number text image segmentation using adaptive thresholding and contour detection algorithms

- Adhesive character splitting implemented with vertical projection analysis and peak-valley detection methods

- Text recognition module employing template matching and machine learning classifiers

- Color license plate segmentation leveraging HSV color space conversion and region growing techniques

- Trademark text segmentation through Canny edge detection and morphological operations

- Recognition sub-functions implementing feature vector comparison and neural network inference

- Structural feature extraction sub-functions calculating character strokes, aspect ratios, and topological features

These integrated processing stages ensure the system achieves optimal accuracy and computational efficiency for document analysis tasks, providing robust character segmentation and recognition capabilities across various image types.

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