Image processing in industry. 5. Recognition. 1. Character recognition.
نویسندگان
چکیده
منابع مشابه
Text Detection and Character Recognition Using Fuzzy Image Processing
The current investigation presents an algorithm and software to detect and recognize character in an image. Three types of fonts were under investigation, namely, case (I): Verdana, case (II): Arial and case (III): Lucida Console. The font size will be within the range of 17–29 font size. These types were chosen because the characters have low variance and there is less redundancy in the single...
متن کاملImage Pre-processing on Character Recognition using Neural Networks
This paper, presents a theoretical and practical basis of preprocessing on handwritten text for character recognition using forward-feed neural networks. Afterwards, the Feed forward algorithm gives working of a neural network followed by the Back Propagation Algorithm which compromises Training, Calculating Error, and Modifying Weights. The proposed solutions focus on applying Back Propagation...
متن کاملHandwritten Kannada Document Image Processing using Optical Character Recognition
The objective of Optical Character Recognition (OCR) is automatic reading of optically sensed document text materials to translate human-readable characters to machinereadable codes. In Optical Character Recognition, the text lines in a document must be segmented properly before recognition. English Character Recognition (CR) has been extensively studied in the last half century and progressed ...
متن کاملOptical Character Recognition from Text Image
Optical Character Recognition (OCR) is a system that provides a full alphanumeric recognition of printed or handwritten characters by simply scanning the text image. OCR system interprets the printed or handwritten characters image and converts it into corresponding editable text document. The text image is divided into regions by isolating each line, then individual characters with spaces. Aft...
متن کاملLimestone chemical components estimation using image processing and pattern recognition techniques
In this study based on image analysis, an ore grade estimation model was developed. The study was performed at a limestone mine in central Iran. The samples were collected from different parts of the mine and crushed in size from 2.58 cm down to 15 cm. The images of the samples were taken in appropriate environment and processed. A total of 76 features were extracted from the identified rock sa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Institute of Television Engineers of Japan
سال: 1987
ISSN: 0386-6831,1884-9652
DOI: 10.3169/itej1978.41.924