Optimization of software performance for classification and linking of administrative documents

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Аннотация

The paper discusses technologies for optimizing software performance. Optimization methods are divided into high-level and low-level, as well as parallelization. An algorithm for classifying and linking fields in a recognized image of an administrative document is described. The features of the implementation of classification and linking tasks are listed, consisting of the use of constellations of text feature points and the modified Levenshtein distance. SDK Smart Document Engine and OCR Tesseract were used. Several ways are described to optimize the performance of the functions for classifying and linking document content. Optimization of the performance of the system for sorting a stream of images of administrative documents is also described. The proposed methods for optimizing software performance are suitable not only for implementing image processing algorithms but also for computational algorithms in which cyclic information processing is carried out. The method can be applied in modern CAD systems to analyze the content of recognized textual files.

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Авторлар туралы

O. Slavin

Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences; LLC Smart Engines Service

Хат алмасуға жауапты Автор.
Email: oslavin@isa.ru
Ресей, 44-2 Vavilova str, Moscow, 119333; 9 Prospect 60-Letiya Oktyabrya, Moscow, 117312

Әдебиет тізімі

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Қосымша файлдар

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Әрекет
1. JATS XML
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2. Fig. 1. Implementation of the original version of the substCost function.

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Метадеректер
3. Fig. 2. Implementation of the optimized version of the substCost function.

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4. Fig. 3. Parallel implementation of the sorting system.

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© Russian Academy of Sciences, 2024