Guide to OCR for Arabic Scripts / (Registro nro. 287402)
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| 001 - NÚMERO DE CONTROL | |
| campo de control | 287402 |
| 003 - IDENTIFICADOR DEL NÚMERO DE CONTROL | |
| campo de control | MX-SnUAN |
| 005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN | |
| campo de control | 20170705134215.0 |
| 007 - CAMPO FIJO DE DESCRIPCIÓN FÍSICA--INFORMACIÓN GENERAL | |
| campo de control de longitud fija | cr nn 008mamaa |
| 008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL | |
| campo de control de longitud fija | 150903s2012 xxk| o |||| 0|eng d |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO | |
| Número Internacional Estándar del Libro | 9781447140726 |
| -- | 9781447140726 |
| 024 7# - IDENTIFICADOR DE OTROS ESTÁNDARES | |
| Número estándar o código | 10.1007/9781447140726 |
| Fuente del número o código | doi |
| 035 ## - NÚMERO DE CONTROL DEL SISTEMA | |
| Número de control de sistema | vtls000339710 |
| 039 #9 - NIVEL DE CONTROL BIBLIOGRÁFICO Y DETALLES DE CODIFICACIÓN [OBSOLETO] | |
| Nivel de reglas en descripción bibliográfica | 201509030318 |
| Nivel de esfuerzo utilizado para asignar no-encabezamientos de materia en puntos de acceso | VLOAD |
| Nivel de esfuerzo utilizado en la asignación de encabezamientos de materia | 201404300404 |
| Nivel de esfuerzo utilizado para asignar clasificación | VLOAD |
| -- | 201402060942 |
| -- | staff |
| 040 ## - FUENTE DE LA CATALOGACIÓN | |
| Centro catalogador/agencia de origen | MX-SnUAN |
| Lengua de catalogación | spa |
| Centro/agencia transcriptor | MX-SnUAN |
| Normas de descripción | rda |
| 050 #4 - CLASIFICACIÓN DE LA BIBLIOTECA DEL CONGRESO | |
| Número de clasificación | TA1637-1638 |
| 100 1# - ENTRADA PRINCIPAL--NOMBRE DE PERSONA | |
| Nombre de persona | Märgner, Volker. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 316560 |
| 245 10 - MENCIÓN DE TÍTULO | |
| Título | Guide to OCR for Arabic Scripts / |
| Mención de responsabilidad, etc. | edited by Volker Märgner, Haikal El Abed. |
| 264 #1 - PRODUCCIÓN, PUBLICACIÓN, DISTRIBUCIÓN, FABRICACIÓN Y COPYRIGHT | |
| Producción, publicación, distribución, fabricación y copyright | London : |
| Nombre del de productor, editor, distribuidor, fabricante | Springer London : |
| -- | Imprint: Springer, |
| Fecha de producción, publicación, distribución, fabricación o copyright | 2012. |
| 300 ## - DESCRIPCIÓN FÍSICA | |
| Extensión | xx, 590 páginas 327 ilustraciones, 143 ilustraciones en color. |
| Otras características físicas | recurso en línea. |
| 336 ## - TIPO DE CONTENIDO | |
| Término de tipo de contenido | texto |
| Código de tipo de contenido | txt |
| Fuente | rdacontent |
| 337 ## - TIPO DE MEDIO | |
| Nombre/término del tipo de medio | computadora |
| Código del tipo de medio | c |
| Fuente | rdamedia |
| 338 ## - TIPO DE SOPORTE | |
| Nombre/término del tipo de soporte | recurso en línea |
| Código del tipo de soporte | cr |
| Fuente | rdacarrier |
| 347 ## - CARACTERÍSTICAS DEL ARCHIVO DIGITAL | |
| Tipo de archivo | archivo de texto |
| Formato de codificación | |
| Fuente | rda |
| 500 ## - NOTA GENERAL | |
| Nota general | Springer eBooks |
| 505 0# - NOTA DE CONTENIDO CON FORMATO | |
| Nota de contenido con formato | Part I: Pre-Processing -- An Assessment of Arabic Handwriting Recognition Technology -- Layout Analysis of Arabic Script Documents -- A Multi-Stage Approach to Arabic Document Analysis -- Pre-Processing Issues in Arabic OCR -- Segmentation of Ancient Arabic Documents -- Features for HMM-Based Arabic Handwritten Word Recognition Systems -- Part II: Recognition -- Printed Arabic Text Recognition -- Handwritten Arabic Word Recognition Using the IFN/ENIT-Database -- RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts -- Arabic Handwriting Recognition using Bernoulli HMMs -- Handwritten Farsi Words Recognition Using Hidden Markov Models -- Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks -- Application of Fractal Theory in Farsi/Arabic Document Analysis -- Multi-Stream Markov Models for Arabic Handwriting Recognition -- Towards Distributed Cursive Writing OCR Systems based on the Combination of Complementary Approaches -- Part III: Evaluation -- Data Collection and Annotation for Arabic Document Analysis -- Arabic Handwriting Recognition Competitions -- Benchmarking Strategy for Arabic Screen Rendered Word Recognition -- Part IV: Applications -- A Robust Word Spotting System for Historical Arabic Manuscripts -- Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text -- Arabic Handwriting Recognition Using VDHMM and Over-Segmentation -- Online Arabic Databases and Applications -- Online Arabic Handwritten Words Recognition Based on HMM and Combination of Online and Offline Features -- Part I: Pre-Processing -- An Assessment of Arabic Handwriting Recognition Technology -- Layout Analysis of Arabic Script Documents -- A Multi-Stage Approach to Arabic Document Analysis -- Pre-Processing Issues in Arabic OCR -- Segmentation of Ancient Arabic Documents -- Features for HMM-Based Arabic Handwritten Word Recognition Systems -- Part II: Recognition -- Printed Arabic Text Recognition -- Handwritten Arabic Word Recognition Using the IFN/ENIT-Database -- RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts -- Arabic Handwriting Recognition using Bernoulli HMMs -- Handwritten Farsi Words Recognition Using Hidden Markov Models -- Offline Arabic Handwriting Recognition with Multidimensional Recurrent Neural Networks -- Application of Fractal Theory in Farsi/Arabic Document Analysis -- Multi-Stream Markov Models for Arabic Handwriting Recognition -- Towards Distributed Cursive Writing OCR Systems based on the Combination of Complementary Approaches -- Part III: Evaluation -- Data Collection and Annotation for Arabic Document Analysis -- Arabic Handwriting Recognition Competitions -- Benchmarking Strategy for Arabic Screen Rendered Word Recognition -- Part IV: Applications -- A Robust Word Spotting System for Historical Arabic Manuscripts -- Arabic Text recognition using a Script-Independent Methodology: A Unified HMM-based Approach for Machine-print and Handwritten Text -- Arabic Handwriting Recognition Using VDHMM and Over-Segmentation -- Online Arabic Databases and Applications -- Online Arabic Handwritten Words Recognition Based on HMM and Combination of Online and Offline Features. |
| 520 ## - SUMARIO, ETC. | |
| Sumario, etc. | Optical Character Recognition (OCR) is a key technology enabling access to digital text data. This technique is especially valuable for Arabic scripts, for which there has been very little digital access. Arabic script is widely used today. It is estimated that approximately 200 million people use Arabic as a first language, and the Arabic script is shared by an additional 13 languages, making it the second most widespread script in the world. However, Arabic scripts pose unique challenges for OCR systems that cannot be simply adapted from existing Latin character-based processing techniques. This comprehensive Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Presenting state-of-the-art research from an international selection of pre-eminent authorities, the book reviews techniques and algorithms for the recognition of both handwritten and printed Arabic scripts. Many of these techniques can also be applied to other scripts, serving as an inspiration to all groups working in the area of OCR. Topics and features: Contains contributions from the leading researchers in the field With a Foreword by Professor Bente Maegaard of the University of Copenhagen Presents a detailed overview of Arabic character recognition technology, covering a range of different aspects of pre-processing and feature extraction Reviews a broad selection of varying approaches, including HMM-based methods and a recognition system based on multidimensional recurrent neural networks Examines the evaluation of Arabic script recognition systems, discussing data collection and annotation, benchmarking strategies, and handwriting recognition competitions Describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition This authoritative work is an essential reference for all researchers and graduate students interested in OCR technology and methodology in general, and in Arabic scripts in particular. |
| 590 ## - NOTA LOCAL (RLIN) | |
| Nota local | Para consulta fuera de la UANL se requiere clave de acceso remoto. |
| 700 1# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA | |
| Nombre de persona | El Abed, Haikal. |
| Término indicativo de función/relación | editor. |
| 9 (RLIN) | 316561 |
| 710 2# - PUNTO DE ACCESO ADICIONAL--NOMBRE DE ENTIDAD CORPORATIVA | |
| Nombre de entidad corporativa o nombre de jurisdicción como elemento de entrada | SpringerLink (Servicio en línea) |
| 9 (RLIN) | 299170 |
| 776 08 - ENTRADA/ENLACE A UN FORMATO FÍSICO ADICIONAL | |
| Información de relación/Frase instructiva de referencia | Edición impresa: |
| Número Internacional Estándar del Libro | 9781447140719 |
| 856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS | |
| Identificador Uniforme del Recurso | <a href="http://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-4072-6">http://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-4072-6</a> |
| Nota pública | Conectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
| 942 ## - ELEMENTOS DE PUNTO DE ACCESO ADICIONAL (KOHA) | |
| Tipo de ítem Koha | Recurso en línea |
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