【Document Intelligent Processing Series · 3】 Layout Analysis and Structure Understanding Algorithm

## Gabatarwa Binciken shimfidar wuri shine mahaɗin haɗin sarrafa takardu mai hankali, wanda ke canza takardu daga hotunan matakin pixel zuwa wakilcin bayanan da aka tsara. Kyakkyawan tsarin nazarin shimfidar wuri ba wai kawai yana gano abubuwa daban-daban a cikin daftarin aiki ba, amma kuma ya fahimci alaƙar sararin samaniya da ma'ana tsakanin waɗannan abubuwa. ## Basic Concepts of Layout Analysis ### Rarraba abubuwan shimfidar wuri ** Yankin Rubutu **: - Headings: Headings and subheadings at all levels - Jiki: Babban rubutun rubutu - Lists: Jerin da aka ba da umarni da waɗanda ba a tsara su ba - Footnotes: Comment information at the bottom of the page ** Yankin da ba na rubutu ba **: - Hotuna: Hotuna, zane-zane, gumaka, da dai sauransu - Tables: Structured data tables - Charts: Histograms, line charts, pie charts, da dai sauransu - Divider: Layin da aka yi amfani da shi don raba abun ciki ** Layout **: - Header da ƙafa: Gyara abun ciki a saman da ƙasa na shafi - Margins: Blank borders of the page - Ginshiƙai: Tsarin ginshiƙai tare da shimfidar ginshiƙai da yawa - Background: The background element of the page ### Kalubalen Tsarin ** Kalubalen Bambancin **: - Nau'ikan takardu daban-daban: rahotanni, takardu, mujallu, shafukan yanar gizo, da dai sauransu - Layout style bambance-bambance: layouts tare da daban-daban zane styles - Bambance-bambance na harshe: Halayen rubutu a cikin harsuna daban-daban - Takardun Tarihi: Takardun Musamman kamar tsoffin littattafai da rubuce-rubuce ** Kalubalen Rikitarwa **: - Irregular layout: Non-standard layout design - Overlapping Elements: Overlapping rubutu tare da hotuna - Multi-layered structure: hadaddun dangantaka hierarchical - Dynamic content: dynamic layout of tables, charts ## Hanyoyin Nazarin Tsarin Gargajiya ### Tsarin T ** Horizontal Projection**: - Ka'ida: Ƙididdiga akan rarraba pixels a kowane jere - Aikace-aikace: Gane layukan rubutu da iyakokin sakin layi - Abũbuwan amfãni: Sauƙi lissafi da kuma barga sakamako - Iyakancewa: Ya dace kawai da shimfidar wurare na yau da kullun ** Tsaye tsinkaye **: - Ka'ida: Ƙididdige rarraba pixels a cikin kowane shafi - Aikace-aikace: Gano iyakokin ginshiƙai da ginshiƙan rubutu - Aiwatarwa: Gano rarrabuwa ta hanyar hasashen kololuwa - Ingantawa: Daidaitawa da kuma Multi-sikelin Analysis ### Binciken ɓangaren da aka haɗa ** Dalili **: - Haɗin pixel: 8 ko 4 haɗin kai dangane da pixels - Component extraction: Extract connected pixel components - Ƙididdigar fasali: Lissafin siffofin geometric na ɓangaren - Classification Recognition: Classification of components based on characteristics ** Matakan Algorithm **: 1. Binary processing: Canza hoton zuwa hoton binary 2. Connectivity Analysis: Nemo duk abubuwan da aka haɗa 3. Cire fasali: Lissafin fasali, kamar yanki, rabo, da wuri 4. Kashi rarrabuwa: Rarrabe tsakanin nau'ikan, kamar rubutu, hotuna, layi, da dai sauransu 5. Structural Analysis: Analyze the spatial relationships between components ** Dabarun Ingantawa **: - Aikin Morphological: Cire amo da cike fanko - Multiscale Analysis: Bincika a ma'auni daban-daban - Ƙuntatawa: Bincika sakamakon ta amfani da ƙuntatawa na ilimin da ya gabata ### Tsarin T ** Dokokin Geometric **: - Dokokin daidaitawa: hagu, dama, da tsakiyar daidaitawa na abubuwa - Dokokin Spacing: Standard spacing tsakanin abubuwa - Dokokin sikelin: Dangantakar da ke tsakanin tsawo da faɗin ɓangaren - Dokokin matsayi: Matsayi na abubuwa a cikin shafin ** Dokokin Semantic **: - Dokokin taken: font, girman, halayen matsayi na taken - Paragraph rules: indentation, spacing, alignment of paragraphs - Dokokin jerin: harsashi da tsarin lambobi na jerin - Dokokin tebur: iyaka da tsarin grid na tebur ** Hanyar aiwatarwa **: - Ginin Mulki: Kafa cikakkiyar tsarin tsarin - Daidaita doka: Daidaita sakamakon ganowa zuwa dokokin - Rikice-rikice: Magance rikice-rikice da rikice-rikice tsakanin dokoki - Koyon Doka: Koyon sababbin dokoki ta atomatik daga bayanai ## Zurfin zurfin ### Hanyoyin Gano Abubuwa **YOLO Series**: - YOLOv3: Real-time layout element detection - YOLOv4: Ingantaccen hakar fasali da haɗuwa - YOLOv5: Ƙarin ƙirar samfurin mara nauyi - Aikace-aikace: Gano abubuwa da sauri kamar tubalan rubutu, hotuna, tebur, da ƙari ** R-CNN Jerin **: - Faster R-CNN: Two-mataki daidaito ganowa - Mask R-CNN: Gano lokaci guda da rarrabuwa - Features: High-daidaito bounding akwatin tsinkaya - Aikace-aikace: Daidaitaccen shimfidar wuri ** Cikakkun bayanai **: - Data Annotation: Label da bounding akwatin da category na layout abubuwa - Cibiyar sadarwa: Horar da samfuran ta amfani da manyan bayanai - Post-processing: non-maxima suppression and result optimization - Ma'aunin kimantawa: mAP, daidaito, tunawa, da dai sauransu ### Semantic segmentation method FCN (Full Convolutional Network): - Ka'ida: Canza cibiyar sadarwa ta rarrabuwa zuwa cibiyar sadarwa mai rarrabuwa - Features: End-to-end pixel-level classification - Aikace-aikace: Daidaitaccen shimfidar wuri yanki segmentation - Amfani: Kula da amincin bayanan sararin samaniya ** U-Net Architecture **: - Encoder: Cire fasali tare da raguwa a hankali a cikin ƙuduri - Decoder: Sannu a hankali dawo da ƙuduri don samar da wani segmented graph - Jump connection: Haɗa bayanan fasali da yawa - Aikace-aikace: Hotunan likita da rarrabuwar hoto ** Jerin DeepLab **: - Hollow Convolution: Yana faɗaɗa filin mai karɓa ba tare da rage ƙuduri ba - ASPP module: Multi-sikelin siffofin cirewa - Yanayin bazuwar filin: Inganta iyakar rarrabuwa - Aikace-aikace: High-quality semantic segmentation ### Graph Neural Network Approach ** Ginin Graph **: - Node Definition: Wakiltar layout abubuwa a matsayin graph nodes - Ma'anar gefe: Kafa dangantaka ta sararin samaniya da semantic tsakanin abubuwa - Feature Representation: Feature vectors for nodes and edges - Graph structure: Choice of directed or undirected graphs ** Aikace-aikacen GCN **: - Saƙonni: Yada bayanai a kan jadawalin - Feature Update: Updates the feature representation of the node - Relational reasoning: Tunani game da dangantaka tsakanin abubuwa - Hasashen Tsari: Hasashen tsarin gaba ɗaya na daftarin aiki ** Nazarin fa'ida **: - Tsarin dangantaka: a bayyane yake samfurin dangantaka tsakanin abubuwa - Global Information: Leverage contextual information from the global landscape - Flex: Daidaitawa zuwa daban-daban takardun tsarin - Bayani: Bayar da bayani game da tunani na dangantaka ## Tsarin Fahimtar Algorithms ### Karanta Binciken Bincike ** Ka'idoji na asali **: - Daga hagu zuwa dama: Halayen karatu na asali a cikin harsunan Yammacin Turai - Daga sama zuwa ƙasa: tsari na karatu a tsaye - Column fifiko: Ka'idar fifiko a cikin ginshiƙai don takardun shafi da yawa - Hierarchical dangantaka: Dangantakar hierarchical tsakanin taken da jiki ** Aiwatar da Algorithm **: - Topological Sorting: Sorting bisa ga element matsayi dangantaka - Hanya mafi gajeren hanya: Nemo mafi kyawun hanyar karatu - Dynamic Planning: Inganta zaɓin umarnin karatu - Koyon Inji: Koyon tsarin karatu a takamaiman yankuna ** Special Situation Handling **: - Multi-ginshiƙai layout: Rike Multi-ginshiƙai layout na jaridu da mujallu - Abun ciki na tebur: tsari wanda aka karanta tebur a cikin tebur - Mixed layout: Mixed typography of text and images - Tsarin da ba na layi ba: Tsarin kirkira don tallace-tallace, fastoci, da dai sauransu ### Tsarin T ** Header Hierarchy **: - Font Size: Ƙayyade matakin taken ta hanyar girman font - Font Style: Bold, italics, da sauran siffofin salo - Bayanin wuri: matsayin taken a cikin shafin - Indent Relationship: The level of indentation of the title ** Tsarin sakin layi **: - Paragraph Identification: Identify the boundaries of paragraphs - Paragraph Classification: Bambanta tsakanin jiki, ambato, jerin, da dai sauransu - Paragraph Relations: Analyze the logical relationships between paragraphs - Paragraph Hierarchy: Build the hierarchy of paragraphs **Document Outline **: - Chapter Division: Gano tsarin babi na daftarin aiki - Catalog Generation: Ta atomatik samar da takardu catalogs - Cross-Referencing: Yana kula da dangantaka a cikin takardu - Structural Verification: Tabbatar da rationality na tsarin ### Semantic Relationship Analysis ** Dangantakar sararin samaniya **: - Dangantakar haɗawa: Wani abu ya ƙunshi wani - Adjacency: Abubuwa suna kusa da sararin samaniya - Daidaitawa Dangantaka: Abubuwa suna daidaitawa a cikin wani shugabanci - Dangantakar rabuwa: Abubuwa suna rabuwa da sararin samaniya ** Dangantaka mai ma'ana **: - Causality: The causal logic between elements - Temporal Relationship: The chronological relationship of the elements - Juxtaposition: The juxtaposition ko bambancin dangantaka na abubuwa - Subordination: Dangantakar maigidan-bawa na wani ɓangare ** Dangantakar Citation **: - Chart References: Text references to charts - Bayanin ƙasa: A reference to a footnote in the body - Cross-references: Cross-references within documents - External citations: References to external documents ## Hanyoyin kimantawa da alamomi ### Binciken daidaito na ganowa ** Bounding Box Evaluation **: - IoU (Intersection and Merge Ratio): Matakin haɗuwa tsakanin akwatin tsinkaya da akwatin ainihi - Daidaito: Kashi na ganowa daidai - Tunawa: Kashi na ainihin manufofin da aka gano - F1 Score: Matsakaicin daidaito da tunawa ** Kimantawa na Matakin Pixel **: - Pixel Accuracy: Kashi na pixels da aka rarraba yadda ya kamata - Matsakaicin IoU: Matsakaicin IoU na kowane rukuni - Frequency-weighted IoU: IoU weighted by category frequency - Daidaiton iyaka: Daidaiton rarrabuwa na pixels na iyaka ### Tsarin Fahimtar Tsarin ** Karatun Order Assessment **: - Sequential daidaito: The rabo na daidai karatun tsari - Gyara nesa: bambanci tsakanin umarnin da aka annabta da tsari na gaskiya - Local Consistency: Daidaito na tsari a cikin yankin - Global Consistency: The rationality of the overall reading order **Hierarchy Assessment**: - Tree Structure Similarity: Predicts the similarity of structures to real structures - Hierarchical daidaito: Daidaiton rarrabuwa na nodes a kowane matakin - Daidaito na dangantaka: daidaito na dangantaka tsakanin nodes - Structural Integrity: Structural Integrity and Consistency ## Aikace-aikacen Aikace- ### Nazarin Takardar Ilimi ** Siffofin Layout **: - Shimfidar shafi biyu: Standard ilimi takarda format - Tsarin hadaddun tsari: take, abstract, jiki, nassoshi - Chart-arziki: Ya ƙunshi babban adadin ginshiƙi da dabaru - Citation Relations: Complex citations and cross-references ** Maganin Fasaha **: - Multi-sikelin ganowa: Gano layout abubuwa na daban-daban masu girma dabam - Sequence Modeling: Tsara tsarin jerin daftarin aiki - Dangantaka hakar dangantaka: Cire nassoshi da ƙungiyoyi - Knowledge Graph: Build a knowledge graph for your essay ### Tsarin Kasuwancin ** Aikace-aikacen aikace-aikace **: - Nazarin kwangila: Cire mahimman sharuɗɗa daga kwangilar - Invoice processing: Gano mutum bayani game da invoices - Fassarar Rahoto: Bincika tsarin rahotannin kasuwanci - Form Filling: Ta atomatik cika daidaitattun fom ** Bukatun fasaha **: - Babban daidaito: Tabbatar da ingantaccen cirewa na mahimman bayanai - Robustness: Daidaitawa zuwa daban-daban Formats da halaye na takardu - Real-Time: Yana tallafawa sarrafa takardu na ainihi - Scalability: Yana tallafawa saurin daidaitawa na sababbin nau'ikan takardu ## Yanayin Fasaha ### Multimodal fusion **Visual-Text Fusion**: - Haɗin gwiwa: A lokaci guda samfurin bayanan gani da rubutu - Hankali Mechanism: Rarraba hankali tsakanin daban-daban modalities - Feature Alignment: Align visual and textual features - Knowledge Distillation: Distillation of knowledge from multimodal models * Samfuran da aka horar da su **: - LayoutLM: Samfuran da aka riga aka horar da su waɗanda ke fahimtar shimfidar takardu - DocFormer: Multimodal document understanding model - StructuralLM: Tsarin Fahimtar Tsarin T - UniDoc: Tsarin haɗin gwiwa don fahimtar takardu ### Tsarin Tsarin ** Ƙaramin Samfurin Ilmantarwa **: - Meta-koyo: Saurin daidaitawa da sababbin nau'ikan takardu - Prototype Network: Hanyar rarrabuwa ta tushen samfurin - Inganta bayanai: Samar da ƙarin samfuran horo - Canja wurin ilmantarwa: Yin amfani da ilimi daga samfuran da ake da su ** Koyon kan layi **: - Ƙarin Koyo: Ci gaba da koyon sababbin takardun - Active ilmantarwa: Zaɓi mafi muhimmanci samfurin annotations - Ilmantarwa mai sarrafawa: Yin amfani da tsarin ciki na takardu - Ci gaba da ilmantarwa: Guji mantawa da bala'i ## Summary Nazarin shimfidar wuri da fahimtar tsari sune manyan fasahohin sarrafa takardu masu hankali, wanda ke canza hoton daftarin aiki na asali zuwa wakilcin bayanan da aka tsara. Tare da ci gaban fasahar ilmantarwa mai zurfi, daidaito da ƙarfin nazarin shimfidar wuri an inganta shi sosai. ** Key Takeaways**: - Layout analysis includes element detection, classification, and relationship analysis - Hanyoyin ilmantarwa masu zurfi suna inganta daidaiton bincike - Tsarin fahimta yana buƙatar la'akari da dangantakar sararin samaniya da na semantic - Tsarin kimantawa yana buƙatar la'akari da girma da yawa ** Jagorar ci gaba **: - Zurfin haɗuwa da bayanai na multimodal - Daidaitawa ilmantarwa da karancin harbi - Real-lokaci sarrafawa da edge kwamfuta - Daidaitawa da daidaitawa Ci gaba da haɓaka fasahar nazarin shimfidar wuri zai ba da tallafi mai ƙarfi don sarrafa takardu masu hankali da haɓaka ci gaban dukkan filin zuwa matakin mafi girma.