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OCR · Layout · Tables · Forms · Handwriting · Classification

Document Image Analysis Projects.

90+ curated document image analysis project topics for BE, BTech and MTech — OCR, layout segmentation, table extraction, form field detection, invoice parsing and handwritten recognition with OpenCV, Tesseract, EasyOCR, Detectron2 and LayoutLM-style models. Complete pipelines, report, PPT and viva support.

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OCR Layout Tables Forms Handwriting Classification Advanced

Document Image Analysis Projects for Final Year Students (2026)

Document image analysis extracts text, structure and fields from scanned pages, photos of papers and PDFs. Student projects combine classical OpenCV preprocessing with OCR engines and modern layout models for tables, forms and multi-column pages.

This page lists 90+ high-impact topics. Tools include OpenCV, Tesseract, EasyOCR, PaddleOCR, Detectron2/YOLO for layout, LayoutLM/Donut and datasets such as PubLayNet, FUNSD and SROIE. Ideal for BE, BTech, MTech CS, ECE and AI students in Bangalore and across India.

Core Frameworks & Tools

Libraries and models commonly used in academic document image analysis projects.

OpenCV Tesseract EasyOCR / PaddleOCR LayoutLM / Donut Detectron2 / YOLO PubLayNet · FUNSD · SROIE

Best Document Image Analysis Topics & Tools (90+)

Grouped by theme. Each topic lists primary tools and typical datasets.

# Project Topic Tools · Datasets
🔤  OCR · Text Extraction
1OCRTesseract OCR Pipeline for Scanned Pagespytesseract, OpenCV
2OCREasyOCR Multi-Language Text ExtractionEasyOCR
3OCRPaddleOCR Detection + RecognitionPaddleOCR
4OCRCompare Tesseract vs EasyOCR AccuracyCER / WER metrics
5OCRMobile Photo Document OCR with DeskewPerspective + OCR
6OCRLow-Quality / Noisy Scan OCR RobustnessDenoise + OCR
7OCRMulti-Column Page OCR Reading OrderColumn detect + OCR
8OCRPDF Image Layer OCR Batch Pipelinepdf2image + OCR
9OCRWord-Level Bounding Boxes and ExportOCR boxes → JSON
10OCRLanguage Detection before OCRlangdetect + engine
🧹  Preprocessing · Enhancement
11PreDocument Skew Detection and CorrectionHough / projection
12PreBinarization: Otsu, Adaptive, SauvolaOpenCV thresholds
13PrePerspective Correction of Phone CapturesFour-point transform
14PreShadow and Illumination NormalizationCLAHE, morphology
15PreNoise Removal and Speckle CleaningMorphology, median
16PreBorder / Margin Detection and CropContours
17PreDPI and Resolution StandardizationResize, pad
18PreCompare Preprocessing Impact on OCR CERAblation table
📐  Layout Analysis · Segmentation
19LayPage Segmentation: Text / Image / Table RegionsContour / ML layout
20LayPubLayNet-Style Layout DetectionDetectron2 / YOLO
21LayReading Order ReconstructionXY-cut / heuristics
22LayHeader / Footer / Body SeparationZone classification
23LayMulti-Column Layout DetectionProjection profiles
24LayFigure and Caption AssociationProximity + OCR
25LayTitle and Heading Hierarchy ExtractionFont size / style
26LayLayout Graph Representation of a PageBlocks as nodes
📊  Table Detection · Extraction
27TabTable Detection with Contours / LinesOpenCV Hough lines
28TabDeep Table Detection (YOLO / Detectron)PubTables-style
29TabCell Segmentation and Grid ReconstructionRow/col lines
30TabTable to CSV / Structured ExportOCR cells → CSV
31TabMerged Cell and Complex Table HandlingSpan detection
32TabBorderless Table Detection HeuristicsAlignment clustering
33TabFinancial Statement Table ExtractionDomain tables
34TabCompare Classical vs Deep Table ModelsIoU / structure F1
📝  Forms · Key-Value · Invoices
35FormForm Field Detection and LabelingFUNSD-style
36FormKey–Value Pair Extraction from FormsLayout + OCR
37FormInvoice Field Extraction (date, amount, vendor)SROIE / custom
38FormReceipt Parsing PipelineOCR + rules / ML
39FormCheckbox / Radio Button State DetectionTemplate match
40FormSignature Region DetectionInk density / CNN
41FormID Card / KYC Field ExtractionTemplate + OCR
42FormLayoutLM / Donut Document Understanding DemoTransformers
✍️  Handwriting · HTR
43HandHandwritten Digit Recognition (MNIST-style)CNN, MNIST
44HandOffline Handwritten Text Recognition LiteCRNN / CTC concepts
45HandSignature Verification (same / different)Siamese / features
46HandHandwritten Form Field OCRCrop + HTR
47HandLine Segmentation for Handwritten PagesProjection / ML
48HandCompare Printed vs Handwritten RegionsClassifier
🏷️  Document Classification · Type
49ClsDocument Type Classification (invoice, ID, letter)CNN / features
50ClsPage Orientation Classification0/90/180/270
51ClsLanguage of Document ImageScript detection
52ClsBlank vs Content Page DetectionInk density
53ClsQuality Score: Blur / Contrast RankingLaplacian, hist
54ClsMulti-Label Document Attribute TagsHas-table, has-form
🏢  Domain Applications
55AppBank Cheque MICR / Amount ExtractionROI + OCR
56AppBusiness Card DigitizationLayout + OCR fields
57AppMedical Prescription Digitisation LiteHandwritten + print
58AppExam Answer Sheet Region MappingTemplate zones
59AppLegal Contract Clause Block DetectionLayout + headings
60AppNewspaper Article SegmentationMulti-column layout
61AppHistorical Document Enhancement + OCRDegrade reverse
62AppShipping Label / Address Block ExtractionRegion + OCR
📈  Evaluation · Metrics
63EvalCharacter / Word Error Rate (CER / WER)editdistance
64EvalLayout Detection mAP / IoU MetricsCOCO-style eval
65EvalTable Structure Recognition F1Cell-level match
66EvalEnd-to-End Field Extraction AccuracyKey exact match
67EvalHuman-in-the-Loop Correction InterfaceReview UI
68EvalBenchmark: 3 Engines × 3 Document TypesUnified report
🔬  Advanced · Multimodal · Deployment
69AdvLayoutLM Fine-Tuning for Key InformationTransformers, FUNSD
70AdvDonut End-to-End Document ParsingVision encoder-decoder
71AdvMulti-Page Document Stitching and IndexPage order + OCR
72AdvSynthetic Document Generation for TrainingAugmentation pipeline
73AdvActive Learning for Layout AnnotationUncertainty sampling
74AdvMobile Edge OCR with Quantized ModelsTFLite / ONNX
75AdvStreamlit Document Analysis Demo AppUpload → results
76AdvFastAPI Document Processing ServiceREST + async jobs
77AdvSearchable PDF Generation from ScansOCR layer embed
78AdvPrivacy: Redact Sensitive RegionsDetect + blackout
79AdvMultilingual Document PipelineScript + engine select
80AdvCamera Document Capture Quality GateBlur / glare checks
81AdvGraphical UI Element Detection in DocsIcons / logos
82AdvCross-Domain Transfer: Forms → InvoicesFine-tune study
83AdvExplainability: Why This Field MappedAttention / rules log
84AdvBatch Processing Throughput OptimizationParallel workers
85AdvDataset Curation and Annotation GuidelinesLabel schema
86AdvFailure Mode Catalog: Skew, Blur, BleedCase study report
87AdvEducational Lab: Preprocess → OCR → Layout → ExportCurriculum path
88AdvOpen-Source Stack Comparison ReportTesseract vs Paddle vs commercial
89AdvReproducibility: Seeds, Configs, Version PinsEnvironment lock
90AdvEnd-to-End: Capture → Enhance → OCR → Structure → Export → ReportFull pipeline
91AdvThesis Package: Methods, Metrics, Ablations, DiscussionFull documentation
92AdvProduction Checklist: Latency, Accuracy, Languages, FormatsOps report

Topics reflect document image analysis and OCR academic practice. Contact us for pipelines, evaluation metrics, university-format report, PPT and viva Q&A for any topic above.

Why Choose Us for Document Image Analysis Projects?

Bangalore-based guidance for BE, BTech and MTech students working on OCR, layout and form understanding systems.

OCR Pipelines

Tesseract, EasyOCR and PaddleOCR with preprocessing for real scans and photos.

Layout Analysis

Region detection, reading order and multi-column structure recovery.

Tables & Forms

Table structure extraction and key–value form field parsing.

Document AI

LayoutLM/Donut-style understanding and end-to-end field extraction.

Frequently Asked Questions — Document Image Analysis

Top topics include OCR with Tesseract/EasyOCR, document layout analysis, table structure extraction, form field detection, invoice/receipt parsing, handwritten recognition and LayoutLM-style document understanding.
OpenCV, Tesseract OCR, EasyOCR, PaddleOCR, Detectron2/YOLO for layout, LayoutLM/Donut, scikit-image, and datasets such as PubLayNet, FUNSD, SROIE and custom scanned documents.
Yes. Packages include preprocessing pipelines, OCR/layout models, evaluation metrics, university-format report, PPT and viva Q&A.
It converts scanned or photographed documents into structured data — text, tables, form fields and layout regions — for digitization, archival search, invoice automation and accessibility.