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New OCR pipeline enhances retail bill digitization with adaptive enhancement

By PulseAugur Editorial · [2 sources] ·

Researchers have developed and benchmarked an adaptive Optical Character Recognition (OCR) pipeline designed for digitizing retail bills across various commercial sectors. The system incorporates a CNN-based image enhancement module, an image quality analyzer, a feedback loop for iterative retries, and an NLP-based correction layer. Tested on a dataset of 360 retail bills, the pipeline achieved a Character Error Rate (CER) of 18.4% and a Word Error Rate (WER) of 27.6%, significantly outperforming the Raw Tesseract baseline and demonstrating a notable speed advantage over EasyOCR. AI

IMPACT Establishes a new benchmark for OCR in retail, potentially improving data extraction efficiency for businesses.

RANK_REASON Academic paper detailing a new OCR pipeline and its benchmarked performance.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New OCR pipeline enhances retail bill digitization with adaptive enhancement

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Academic paper detailing a new OCR pipeline and its benchmarked performance.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Vijaysinh Gaikwad ·

    Benchmarking OCR Pipelines with Adaptive Enhancement for Multi-Domain Retail Bill Digitization

    arXiv:2604.25176v1 Announce Type: new Abstract: The digitization of multi-domain retail billing documents remains a challenging task due to variability in scan quality, layout heterogeneity, and domain diversity across commercial sectors. This paper proposes and benchmarks an int…

  2. arXiv cs.CV TIER_1 English(EN) · Vijaysinh Gaikwad ·

    Benchmarking OCR Pipelines with Adaptive Enhancement for Multi-Domain Retail Bill Digitization

    The digitization of multi-domain retail billing documents remains a challenging task due to variability in scan quality, layout heterogeneity, and domain diversity across commercial sectors. This paper proposes and benchmarks an intelligent, quality-aware adaptive Optical Charact…

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