测试19种高棉字体对文字识别准确率的影响
Evaluating the Impact of Khmer Font Types on Text Recognition
- 用Pytesseract对比19种高棉字体的OCR表现
- Khmer、Odor MeanChey等5种字体识别率高
- iSeth First、Bayon等3种字体表现差，影响系统设计
文字识别受字体类型显著影响，尤其对于复杂的高棉文。本文使用Pytesseract评估了19种随机选取的高棉字体在文本识别中的表现，涵盖Angkor、Battambang、Bayon、Bokor、Chenla、Dangrek、Freehand、Kh Kompong Chhnang、Kh SN Kampongsom、Khmer、Khmer CN Stueng Songke、Khmer Savuth Pen、Metal、Moul、Odor MeanChey、Preah Vihear、Siemreap、Sithi Manuss和iSeth First等字体。结果显示，Khmer、Odor MeanChey、Siemreap、Sithi Manuss和Battambang识别准确率较高，而iSeth First、Bayon和Dangrek表现较差。研究强调字体选择对优化高棉文识别的重要性，为构建更鲁棒的OCR系统提供关键参考。
原文摘要 · Abstract (English)
Text recognition is significantly influenced by font types, especially for complex scripts like Khmer. The variety of Khmer fonts, each with its unique character structure, presents challenges for optical character recognition (OCR) systems. In this study, we evaluate the impact of 19 randomly selected Khmer font types on text recognition accuracy using Pytesseract. The fonts include Angkor, Battambang, Bayon, Bokor, Chenla, Dangrek, Freehand, Kh Kompong Chhnang, Kh SN Kampongsom, Khmer, Khmer CN Stueng Songke, Khmer Savuth Pen, Metal, Moul, Odor MeanChey, Preah Vihear, Siemreap, Sithi Manuss, and iSeth First. Our comparison of OCR performance across these fonts reveals that Khmer, Odor MeanChey, Siemreap, Sithi Manuss, and Battambang achieve high accuracy, while iSeth First, Bayon, and Dangrek perform poorly. This study underscores the critical importance of font selection in optimizing Khmer text recognition and provides valuable insights for developing more robust OCR systems.
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