浙江电力2025，Vol.44Issue(6)：91-99,9.DOI:10.19585/j.zjdl.202506009
基于种子生长策略与深度神经网络的电力工作票智能识别方法
An intelligent recognition method for electrical work permits based on seed growth strategy and deep neural networks
摘要
Abstract
In response to the digitalization needs of electrical work permits,an intelligent recognition method based on the seed growth strategy and dense convolutional network(DenseNet)is proposed.Firstly,during text detection,the seed growth strategy is employed to select an initial seed point and gradually expand the candidate areas,effec-tively improving the localization accuracy for irregular text areas.Then,during text recognition,the method com-bines DenseNet's deep feature extraction capabilities with the CTC technique's mechanism for aligning variable-length sequences,enhancing the recognition performance of character sequences.Finally,experiments demonstrate that the proposed method achieves higher accuracy in recognizing industry-specific characters,such as equipment codes and electrical symbols,significantly reducing misrecognition rates and effectively meeting the digital process-ing needs of electrical work permits.The method shows strong practical value and promising application potential.关键词
种子生长策略/深度神经网络/不定长文本识别/电力工作票Key words
seed growth strategy/deep neural network/variable-length text recognition/electrical work permit引用本文复制引用
廖美英,周俊煌,张勇军..基于种子生长策略与深度神经网络的电力工作票智能识别方法[J].浙江电力,2025,44(6):91-99,9.基金项目
国家自然科学基金(62376100) （62376100）
