LEADER 01598nam 2200505 450 001 9910480838903321 005 20211005121614.0 010 $a84-9148-182-6 035 $a(CKB)3710000001406226 035 $a(MiAaPQ)EBC4945811 035 $a(MiAaPQ)EBC6522359 035 $a(Au-PeEL)EBL6522359 035 $a(OCoLC)1078357157 035 $a(EXLCZ)993710000001406226 100 $a20170922d2017 uy 0 101 0 $aspa 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 14$aLas reclamaciones por cla?usulas suelo y otras muchas cla?usulas abusivas en las escrituras de hipoteca /$fMari?a Jose? Acho?n Brun?e?n 210 1$aMadrid :$cDykinson,$d2017. 215 $a1 online resource (215 pa?ginas) 225 1 $aConsumo y dan?os a la persona 300 $aIncluye i?ndice. 311 $a84-9148-160-5 320 $aContiene bibliografi?a. 410 0$aConsumo y dan?os a la persona. 606 $aMortgages$zSpain 606 $aHipotecas$zEspan?a 606 $aCivil law$zSpain 606 $aDerecho civil$zEspan?a 608 $aLibros electronicos. 615 0$aMortgages 615 4$aHipotecas 615 0$aCivil law 615 4$aDerecho civil 676 $a346.4604364 700 $aAcho?n Brun?e?n$b Mari?a Jose?$0854039 801 0$bFINmELB 801 1$bFINmELB 906 $aBOOK 912 $a9910480838903321 996 $aLas reclamaciones por cla?usulas suelo y otras muchas cla?usulas abusivas en las escrituras de hipoteca$91906915 997 $aUNINA LEADER 00944nam a2200277 i 4500 001 991002758889707536 005 20020503173044.0 008 000704s1961 it ||| | ita 035 $ab10409877-39ule_inst 035 $aEXGIL109277$9ExL 040 $aBiblioteca Interfacoltà$bita 082 0 $a347 100 1 $aD'Orazi- Flavoni, Mario$0226828 245 10$aFideiussione, mandato di credito, anticresi /$cMario D'Orazi Flavoni 260 $aMilano :$bVallardi,$c1961 300 $a81 p. ;$c25 cm. 490 0 $aTrattato di diritto civile ;$v9 650 4$aAnticresi 650 4$aFideiussione 650 4$aMandato di credito 907 $a.b10409877$b21-02-17$c27-06-02 912 $a991002758889707536 945 $aLE002 Dir. III E 15$g1$i2002000561213$lle002$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10477639$z27-06-02 996 $aFideiussione$9681025 997 $aUNISALENTO 998 $ale002$b01-01-00$cm$da $e-$fita$git $h0$i1 LEADER 05251nam 22006014a 450 001 9910829964903321 005 20230617040525.0 010 $a1-280-24281-7 010 $a9786610242818 010 $a0-470-09416-8 010 $a0-470-09415-X 035 $a(CKB)1000000000356524 035 $a(EBL)241163 035 $a(OCoLC)78051902 035 $a(SSID)ssj0000128021 035 $a(PQKBManifestationID)11160050 035 $a(PQKBTitleCode)TC0000128021 035 $a(PQKBWorkID)10063478 035 $a(PQKB)10379232 035 $a(MiAaPQ)EBC241163 035 $a(EXLCZ)991000000000356524 100 $a20041229d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aComputer-aided intelligent recognition techniques and applications$b[electronic resource] /$fedited by Muhammad Sarfraz 210 $aChichester, West Sussex, England ;$aHoboken, NJ $cJ. Wiley$dc2005 215 $a1 online resource (519 p.) 300 $aDescription based upon print version of record. 311 $a0-470-09414-1 320 $aIncludes bibliographical references and index. 327 $aCOMPUTER-AIDED INTELLIGENT RECOGNITION TECHNIQUES AND APPLICATIONS; Contents; Preface; List of Contributors; 1. On Offline Arabic Character Recognition; 1. Introduction; 2. Structure of the Proposed OCR System; 3. Preprocessing; 4. Segmentation; 4.1 Line Segmentation and Zoning; 4.2 Word Segmentation; 4.3 Segmentation of Words into Individual Characters; 5. Feature Extraction; 6. Recognition Strategy; 6.1 Recognition Using the Syntactic Approach; 6.2 Recognition Using the Neural Network Approach; 7. Experimental Results and Analysis; 7.1 System Training; 7.2 Experimental Set-up 327 $a7.3 Results Achieved8. Conclusion; Acknowledgement; References; 2. License Plate Recognition System: Saudi Arabian Case; 1. Introduction; 2. Structure of a Typical LPR System; 3. Image Acquisition; 4. License Plate Extraction; 4.1 Vertical Edge Detection; 4.2 Filtering; 4.3 Vertical Edge Matching; 4.4 Black to White Ratio and Plate Extraction; 5. License Plate Segmentation; 6. Character Recognition; 6.1 Normalization; 6.2 Template Matching; 7. Experimental Analysis and Results; 8. Conclusion; References; 3. Algorithms for Extracting Textual Characters in Color Video; 1. Introduction 327 $a2. Prior and Related Work3. Our New Text Extraction Algorithm; 3.1 Step 1: Identify Potential Text Line Segments; 3.2 Step 2: Text Block Detection; 3.3 Step 3: Text Block Filtering; 3.4 Step 4: Boundary Adjustments; 3.5 Step 5: Bicolor Clustering; 3.6 Step 6: Artifact Filtering; 3.7 Step 7: Contour Smoothing; 4. Experimental Results and Performance; 5. Using Multiframe Edge Information to Improve Precision; 5.1 Step 3(b): Text Block Filtering Based on Multiframe Edge Strength; 6. Discussion and Concluding Remarks; References 327 $a4. Separation of Handwritten Touching Digits: A Multiagents Approach1. Introduction; 2. Previous Work; 3. Digitizing and Processing; 4. Segmentation Algorithm; 4.1 Extraction of Feature Points; 4.2 The Employed Agents; 5. Experimental Results; 6. Conclusions and Future Work; References; 5. Prototype-based Handwriting Recognition Using Shape and Execution Prototypes; 1. Introduction; 2. A Handwriting Generation Process Model; 3. The First Stages of the Handwriting Recognition System; 3.1 Character Segmentation; 3.2 Feature Extraction; 4. The Execution of the Prototype Extraction Method 327 $a4.1 Grouping Training Samples4.2 Refinement of the Prototypes; 4.3 Experimental Evaluation of the Prototype Extraction Method; 5. Prototype-based Classification; 5.1 The Prototype-based Classifier Architecture; 5.2 Experimental Evaluation of the Prototype Initialization; 5.3 Prototype Pruning to Increase Knowledge Condensation; 5.4 Discussion and Comparison to Related Work; 6. Conclusions; Acknowledgement; References; 6. Logo Detection in Document Images with Complex Backgrounds; 1. Introduction; 2. Detection of Potential Logos; 3. Verification of Potential Logos 327 $a3.1 Feature Extraction by Geostatistics 330 $aIntelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intellige 606 $aLogic circuits$xComputer-aided design 606 $aPattern perception 615 0$aLogic circuits$xComputer-aided design. 615 0$aPattern perception. 676 $a006.3 701 $aSarfraz$b Muhammad$0477302 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910829964903321 996 $aComputer-aided intelligent recognition techniques and applications$93974435 997 $aUNINA