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High Capacity Image Data Hiding of Scanned Text Documents Using Improved Quadtree

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Seyyed Hossein Soleymani, Amir Hossein Taherinia

Multimedia · Submitted 29 Mar 2018

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Therefore, the proposed method can be used in the secure and intangible transfer of text documents in the host image.

how it is stated · hedged possibility 0.73 read the record →

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arXiv ID1803.11286 (version 1)
Pith IDXBPTOIZU, Pith's permanent record of this paper and its review
CitationAmir Hossein Taherinia, Seyyed Hossein Soleymani. "High Capacity Image Data Hiding of Scanned Text Documents Using Improved Quadtree." arXiv:1803.11286 (2018). https://pith.science/paper/XBPTOIZU
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,089 input tokens.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.30 · randomized assignment 0.02 · states quantitative result 0.05 · compares with prior results 0.90 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

In this paper, an effective method was introduced to steganography of text document in the host image. In the available steganography methods, the message has a random form. Therefore, the embedding capacity is generally low. In the proposed method, the main underlying idea was the sparse property of scanned documents. The scanned documents were converted from gray-level form to binary values by halftoning idea and then the information-included parts were extracted using the improved quadtree and separated from document context. Next, in order to compress the extracted parts, an algorithm was proposed based on reading the binary string bits, ignoring the zero behind the number, and converting them to decimal values. Embedding capacity of the proposed method is higher than that of other available methods with a random-based message. Therefore, the proposed method can be used in the secure and intangible transfer of text documents in the host image.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 In this paper, an effective method was introduced to steganography of text document in the host image. contribution 1.00 0.90 0.13 asserted 1.00
s1 In the available steganography methods, the message has a random form. background 0.97 0.05 0.02 asserted 1.00
s2 Therefore, the embedding capacity is generally low. background 0.80 0.08 0.04 asserted 0.99
s3 In the proposed method, the main underlying idea was the sparse property of scanned documents. method 0.60 0.46 0.05 asserted 1.00
s4 The scanned documents were converted from gray-level form to binary values by halftoning idea and then the information-included parts were extracted using the improved quadtree and separated from document context. method 1.00 0.87 0.05 asserted 0.99
s5 Next, in order to compress the extracted parts, an algorithm was proposed based on reading the binary string bits, ignoring the zero behind the number, and converting them to decimal values. method 0.99 0.89 0.04 asserted 0.98
s6 Embedding capacity of the proposed method is higher than that of other available methods with a random-based message. result 0.98 0.78 0.44 asserted 1.00
s7 Therefore, the proposed method can be used in the secure and intangible transfer of text documents in the host image. interpretation 0.97 0.33 0.74 hedged possibility 0.73

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.86.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

In this paper, an effective method was introduced to steganography of text document in the host image. In the available steganography methods, the message has a random form. Therefore, the embedding capacity is generally low. In the proposed method, the main underlying idea was the sparse property of scanned documents. The scanned documents were converted from gray-level form to binary values by halftoning idea and then the information-included parts were extracted using the improved quadtree and separated from document context. Next, in order to compress the extracted parts, an algorithm was proposed based on reading the binary string bits, ignoring the zero behind the number, and converting them to decimal values. Embedding capacity of the proposed method is higher than that of other available methods with a random-based message. Therefore, the proposed method can be used in the secure and intangible transfer of text documents in the host image.

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