A Novel Bangla Font Recognition Approach Using Deep Learning

Islam, Majedul; Rabby, Akm Shahariar Azad; Hasan, Nazmul; Nahar, Jebun; Rahman, Fuad

doi:10.1007/978-981-33-4367-2_71

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Tensmeyer [12] proposed a CNN-based framework, while Hasan [13] applied CNNs for Bengali font recognition. Vijayakumar [14] used Capsule Networks, and Islam [15] employed Stacked Convolutional Auto Encoders (SCAE). Chen [16] introduced label attributes, designing a specialized algorithm for English font images.…”

Section: A Non-chinese Fonts Recognitionmentioning

confidence: 99%

SMFNet: One-Shot Recognition of Chinese Character Font Based on Siamese Metric Model

Yan,

Zhang

2024

IEEE Access

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This paper focuses on Chinese character font recognition and introduces a novel one-shot leaning model SMFNet for Chinese character font recognition , by thoroughly analyzing the fundamental characteristics of Chinese characters. Due to the considerable quantity and intricate structures of Chinese character fonts, conventional methods for Chinese character font recognition face challenges in meeting the necessary requirements. To address this issue, a siamese metric structure is incorporated as the model framework, in conjunction with coordinate attention modules and multiple loss functions, enabling one-shot font recognition across various categories such as standard printed fonts, soft brush calligraphy fonts, and hard pen calligraphy fonts. The model is trained and tested using the XIKE-CFS Chinese character font style dataset. Experimental results indicate that SMFNet achieves a recognition accuracy of 97.50% on the XIKE-CFS dataset, while also supporting one-shot recognition with an accuracy rate of 92.84%. Furthermore, compared to other prevalent CNN classification models, SMFNet exhibits outstanding performance in terms of parameter quantity and demonstrates excellent capabilities for recognizing new fonts. In summary, this work provides innovative perspectives and methodologies for addressing challenges in the field of Chinese character font recognition.INDEX TERMS Chinese character font, coordinate attention, one-shot recognition, siamese network.

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