METHOD OF SEARCHING FOR MACHINE-READABLE ZONE OF DOCUMENT ON IMAGE USING ANN, COMPRISING DIRECT AND TRANSPOSED HOUGH TRANSFORMATION
	ERSHOVA D M; GAIER A V; SHESHKUS A V; ARLAZAROV V V
	2024-06-18
专利权人	SMART ENGINES SERVICE LLC (SMAR-Non-standard)
申请日期	2024-06-18
专利号	RU2833293-C1
成果简介	NOVELTY - Invention relates to information technology and specifically to searching for a machine-readable zone (MRZ) of a document on an image. Method of searching for a machine-readable zone of a document on an image using an artificial neural network (ANN), containing direct and transposed Hough transformations, consists in the fact that a compact neural network is used to search for the MRZ in a frame to select pixels belonging to the MRZ, wherein in neural network 2 parallel units are used: a convolutional unit and a Hough-unit, wherein the Hough transformation is applied to the input tensor channel by channel, after which next 3 convolutional layers operate with features in the Hough space, wherein the convolutional layer, the output of which goes to the Hough transformation operator, uses the restricted softsign function as the activation function: f(x)=(x/(|x|+1)), in the remaining convolutional layers, the activation function ReLU: f(x)=max(0,x), wherein symmetric indents are used in convolutions, to obtain a search result for the MRZ, a minimum bounding rectangle search algorithm is applied to the remaining ones. USE - Data processing. ADVANTAGE - High accuracy of determining both straight and curved MRZs on photographs. 1 cl, 4 dwg
IPC 分类号	G06F-007/00 ; G06V-010/22 ; G06V-030/418
国家	俄罗斯
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/16212
专题	中国科学院新疆生态与地理研究所
作者单位	SMART ENGINES SERVICE LLC (SMAR-Non-standard)
推荐引用方式 GB/T 7714	ERSHOVA D M,GAIER A V,SHESHKUS A V,et al. METHOD OF SEARCHING FOR MACHINE-READABLE ZONE OF DOCUMENT ON IMAGE USING ANN, COMPRISING DIRECT AND TRANSPOSED HOUGH TRANSFORMATION. RU2833293-C1[P]. 2024.

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