Andere Kunden interessierten sich auch für
![Image Segmentation and Compression Using Hidden Markov Models]( "Image Segmentation and Compression Using Hidden Markov Models")
Image Segmentation and Compression Using Hidden Markov Models118,99 €![Offline Hand Written Signature Verification Using Geometric Features]( "Offline Hand Written Signature Verification Using Geometric Features")
Offline Hand Written Signature Verification Using Geometric Features36,99 €![Use of Zernike Moments in Handwritten Character Recognition]( "Use of Zernike Moments in Handwritten Character Recognition")
Use of Zernike Moments in Handwritten Character Recognition32,99 €![Markov Decision Processes and the Belief-Desire-Intention Model]( "Markov Decision Processes and the Belief-Desire-Intention Model")
Markov Decision Processes and the Belief-Desire-Intention Model37,99 €![Markov Models for Handwriting Recognition]( "Markov Models for Handwriting Recognition")
Markov Models for Handwriting Recognition37,99 €![Arabic Handwritten Text Recognition and Writer Identification]( "Arabic Handwritten Text Recognition and Writer Identification")
Arabic Handwritten Text Recognition and Writer Identification52,95 €![Segmentation-Verification for Handwritten Digit Recognition]( "Segmentation-Verification for Handwritten Digit Recognition")
Segmentation-Verification for Handwritten Digit Recognition47,95 €
Concerning to Optical character recognition, Handwriting has sustained to persist as a means of communication and recording information in day to day life even with the introduction of new technologies. OCR is a process of automatic recognition of characters by computers in optically scanned and digitized pages of text. Some practical application potentials of OCR system are: (1) reading aid for the blind, (2) automatic text entry into the computer for desktop publication, library cataloging, ledgering, etc. (3) automatic reading for sorting of postal mail, bank cheques and other documents, (4) document data compression: from document image to ASCII format, (5) language processing, (6) multi-media system design, etc. The motivation of this work is to recognize handwritten Tamil sentences. Such a research will be useful to digitize ancient documents available both on paper, palm leaves and copper and stone inspirations.