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.
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 | ||
| 1 | OCRTesseract OCR Pipeline for Scanned Pages | pytesseract, OpenCV |
| 2 | OCREasyOCR Multi-Language Text Extraction | EasyOCR |
| 3 | OCRPaddleOCR Detection + Recognition | PaddleOCR |
| 4 | OCRCompare Tesseract vs EasyOCR Accuracy | CER / WER metrics |
| 5 | OCRMobile Photo Document OCR with Deskew | Perspective + OCR |
| 6 | OCRLow-Quality / Noisy Scan OCR Robustness | Denoise + OCR |
| 7 | OCRMulti-Column Page OCR Reading Order | Column detect + OCR |
| 8 | OCRPDF Image Layer OCR Batch Pipeline | pdf2image + OCR |
| 9 | OCRWord-Level Bounding Boxes and Export | OCR boxes → JSON |
| 10 | OCRLanguage Detection before OCR | langdetect + engine |
| 🧹 Preprocessing · Enhancement | ||
| 11 | PreDocument Skew Detection and Correction | Hough / projection |
| 12 | PreBinarization: Otsu, Adaptive, Sauvola | OpenCV thresholds |
| 13 | PrePerspective Correction of Phone Captures | Four-point transform |
| 14 | PreShadow and Illumination Normalization | CLAHE, morphology |
| 15 | PreNoise Removal and Speckle Cleaning | Morphology, median |
| 16 | PreBorder / Margin Detection and Crop | Contours |
| 17 | PreDPI and Resolution Standardization | Resize, pad |
| 18 | PreCompare Preprocessing Impact on OCR CER | Ablation table |
| 📐 Layout Analysis · Segmentation | ||
| 19 | LayPage Segmentation: Text / Image / Table Regions | Contour / ML layout |
| 20 | LayPubLayNet-Style Layout Detection | Detectron2 / YOLO |
| 21 | LayReading Order Reconstruction | XY-cut / heuristics |
| 22 | LayHeader / Footer / Body Separation | Zone classification |
| 23 | LayMulti-Column Layout Detection | Projection profiles |
| 24 | LayFigure and Caption Association | Proximity + OCR |
| 25 | LayTitle and Heading Hierarchy Extraction | Font size / style |
| 26 | LayLayout Graph Representation of a Page | Blocks as nodes |
| 📊 Table Detection · Extraction | ||
| 27 | TabTable Detection with Contours / Lines | OpenCV Hough lines |
| 28 | TabDeep Table Detection (YOLO / Detectron) | PubTables-style |
| 29 | TabCell Segmentation and Grid Reconstruction | Row/col lines |
| 30 | TabTable to CSV / Structured Export | OCR cells → CSV |
| 31 | TabMerged Cell and Complex Table Handling | Span detection |
| 32 | TabBorderless Table Detection Heuristics | Alignment clustering |
| 33 | TabFinancial Statement Table Extraction | Domain tables |
| 34 | TabCompare Classical vs Deep Table Models | IoU / structure F1 |
| 📝 Forms · Key-Value · Invoices | ||
| 35 | FormForm Field Detection and Labeling | FUNSD-style |
| 36 | FormKey–Value Pair Extraction from Forms | Layout + OCR |
| 37 | FormInvoice Field Extraction (date, amount, vendor) | SROIE / custom |
| 38 | FormReceipt Parsing Pipeline | OCR + rules / ML |
| 39 | FormCheckbox / Radio Button State Detection | Template match |
| 40 | FormSignature Region Detection | Ink density / CNN |
| 41 | FormID Card / KYC Field Extraction | Template + OCR |
| 42 | FormLayoutLM / Donut Document Understanding Demo | Transformers |
| ✍️ Handwriting · HTR | ||
| 43 | HandHandwritten Digit Recognition (MNIST-style) | CNN, MNIST |
| 44 | HandOffline Handwritten Text Recognition Lite | CRNN / CTC concepts |
| 45 | HandSignature Verification (same / different) | Siamese / features |
| 46 | HandHandwritten Form Field OCR | Crop + HTR |
| 47 | HandLine Segmentation for Handwritten Pages | Projection / ML |
| 48 | HandCompare Printed vs Handwritten Regions | Classifier |
| 🏷️ Document Classification · Type | ||
| 49 | ClsDocument Type Classification (invoice, ID, letter) | CNN / features |
| 50 | ClsPage Orientation Classification | 0/90/180/270 |
| 51 | ClsLanguage of Document Image | Script detection |
| 52 | ClsBlank vs Content Page Detection | Ink density |
| 53 | ClsQuality Score: Blur / Contrast Ranking | Laplacian, hist |
| 54 | ClsMulti-Label Document Attribute Tags | Has-table, has-form |
| 🏢 Domain Applications | ||
| 55 | AppBank Cheque MICR / Amount Extraction | ROI + OCR |
| 56 | AppBusiness Card Digitization | Layout + OCR fields |
| 57 | AppMedical Prescription Digitisation Lite | Handwritten + print |
| 58 | AppExam Answer Sheet Region Mapping | Template zones |
| 59 | AppLegal Contract Clause Block Detection | Layout + headings |
| 60 | AppNewspaper Article Segmentation | Multi-column layout |
| 61 | AppHistorical Document Enhancement + OCR | Degrade reverse |
| 62 | AppShipping Label / Address Block Extraction | Region + OCR |
| 📈 Evaluation · Metrics | ||
| 63 | EvalCharacter / Word Error Rate (CER / WER) | editdistance |
| 64 | EvalLayout Detection mAP / IoU Metrics | COCO-style eval |
| 65 | EvalTable Structure Recognition F1 | Cell-level match |
| 66 | EvalEnd-to-End Field Extraction Accuracy | Key exact match |
| 67 | EvalHuman-in-the-Loop Correction Interface | Review UI |
| 68 | EvalBenchmark: 3 Engines × 3 Document Types | Unified report |
| 🔬 Advanced · Multimodal · Deployment | ||
| 69 | AdvLayoutLM Fine-Tuning for Key Information | Transformers, FUNSD |
| 70 | AdvDonut End-to-End Document Parsing | Vision encoder-decoder |
| 71 | AdvMulti-Page Document Stitching and Index | Page order + OCR |
| 72 | AdvSynthetic Document Generation for Training | Augmentation pipeline |
| 73 | AdvActive Learning for Layout Annotation | Uncertainty sampling |
| 74 | AdvMobile Edge OCR with Quantized Models | TFLite / ONNX |
| 75 | AdvStreamlit Document Analysis Demo App | Upload → results |
| 76 | AdvFastAPI Document Processing Service | REST + async jobs |
| 77 | AdvSearchable PDF Generation from Scans | OCR layer embed |
| 78 | AdvPrivacy: Redact Sensitive Regions | Detect + blackout |
| 79 | AdvMultilingual Document Pipeline | Script + engine select |
| 80 | AdvCamera Document Capture Quality Gate | Blur / glare checks |
| 81 | AdvGraphical UI Element Detection in Docs | Icons / logos |
| 82 | AdvCross-Domain Transfer: Forms → Invoices | Fine-tune study |
| 83 | AdvExplainability: Why This Field Mapped | Attention / rules log |
| 84 | AdvBatch Processing Throughput Optimization | Parallel workers |
| 85 | AdvDataset Curation and Annotation Guidelines | Label schema |
| 86 | AdvFailure Mode Catalog: Skew, Blur, Bleed | Case study report |
| 87 | AdvEducational Lab: Preprocess → OCR → Layout → Export | Curriculum path |
| 88 | AdvOpen-Source Stack Comparison Report | Tesseract vs Paddle vs commercial |
| 89 | AdvReproducibility: Seeds, Configs, Version Pins | Environment lock |
| 90 | AdvEnd-to-End: Capture → Enhance → OCR → Structure → Export → Report | Full pipeline |
| 91 | AdvThesis Package: Methods, Metrics, Ablations, Discussion | Full documentation |
| 92 | AdvProduction Checklist: Latency, Accuracy, Languages, Formats | Ops 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
Document Image Lab — Bangalore
OCR, layout, table and form setups for BE, BTech and MTech document AI projects.
Tesseract / EasyOCR
Segmentation
Extraction
Fields
HTR
Skew / Binarize
LayoutLM
Preparation