OCRed

OCRed (pronounced as OCR'd) provides clever, simple, and intuitive wrapper functionalities for OCRing specific text material. You don't want to learn OCR or the libraries that will help you perform OCR, but you need to OCR something? This friendly neighborhood library hides all of that stuff under simple functions like ocr_meaningful_text().

In other words, instead of manual preprocessing, looking for an OCR library, learning the library, then finally getting what you were looking for, use OCRed instead.

On the other hand, if you want to learn OCR and use the famous OCR libraries by yourself, then this library is not for you. But, it still can be a good start for your journey!

Structure

OCR is performed using the OCR class and preprocessing of an image is performed using the Preprocessor class. All the details are available in the documentation.

Installation

1. Install Tesseract for your OS and add it to PATH

The installation guide is available here

2. Use pip magic

OCRed uses modern Python packaging and can be installed using pip -

python -m pip install ocred

Usage example

# OCRing a book
import ocred

ocr = ocred.OCR(
    False,  # is_scanned -> to preprocess the image
    "path/to/an/image",  # path
)
ocr.ocr_meaningful_text(save_output=True)

# OCRing a signboard
import ocred

ocr = ocred.OCR(
    True,  # is_scanned -> sign boards don't need to be preprocessed
    "path/to/an/image",  # path
)
extracted_text = ocr.ocr_sparse_text()
print(extracted_text)

# OCRing an invoice
import ocred

ocr = ocred.OCR(
    True,  # is_scanned -> invoices don't need to be preprocessed
    "path/to/an/image",  # path
)
extracted_text = ocr.ocr_sparse_text()
print(extracted_text)

extraxted_info = ocr.process_extracted_text_from_invoice()
print(extraxted_info)

# manually preprocessing an image
import cv2
from scipy import ndimage
from ocred import Preprocessor

preprocessed = Preprocessor("path/to/img.jpg")

# scan the image and copy the scanned image
preprocessed.scan()
orig = preprocessed.img.copy()

# remove noise
preprocessed.remove_noise()

# thicken the ink to draw Hough lines better
preprocessed.thicken_font()

# calculate the median angle of all the Hough lines
_, median_angle = preprocessed.rotate()

# rotate the original scanned image
rotated = ndimage.rotate(orig, median_angle)

# remove noise again
preprocessed = Preprocessor(rotated)
preprocessed.remove_noise()

cv2.imwrite("preprocessed.png", preprocessed.img)

Testing

The tests are present in the tests directory. New tests must be added with any additional features.

To run the tests -

pytest

Some examples

जयपुर JAIPUR 321 आगरा AGRA 554 श्री गगांनगर 242 SRIGANGANAGAR JODHPUR 261 जोधपुर

Preface  This book deals with computer architecture as well as computer organization and design. Computer architecture is concerned with the structure and behavior of the various functional modules of the computer and how they interact to provide the processing needs of the user. Computer organization is concerned with the way the hardware components are connected together to form a computer system. Computer design is concerned with the development of the hardware for the computer taking into consideration a given set of specifications. The book provides the basic knowledge necessary to understand the hardware operation of digital computers and covers the three subjects associated with computer hardware. Chapters 1 through 4 present the various digital components used in the organization and design of digital computers. Chapters 5 through 7 show the detailed steps that a designer must go through in order  to design an elementary basic computer. Chapters 8 through 10 deal with the organization and architecture of the central processing unit. Chapters 11 and 12 present the organization and architecture of input-output and memory. Chapter 13 introduces the concept of multiprocessing. The plan of the book is to present the simpler material first and introduce the more advanced subjects later, Thus, the first seven chapters cover material needed for the basic understanding of computer organization, design, and programming of a simple digital computer. The last six chapters present the organization and architecture of the separate functional units of the digital computer with an emphasis ‘on more advanced topics.  ‘The material in the third edition is organized  in the same manner as in the second edition and many of the features remain the same. The third edition, however, offers several improvements over the second edition. All chapters  ‘two (6 and 10) have been completely revised to bring the material up to date and to clarify the presentation. Two new chapters were added: chapter 9 on pipeline and vector processing, and chapter 13 on multiprocessors. Two sections deal with the reduced instruction set computer (RISC). Chapter 5 has been revised completely to simplify and clarify the design of the basic computer. New problems have been formulated for eleven of the thirteen chapters.  ‘The physical organization of a particular computer including its registers

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Contributing

If you want to contribute to OCRed (thanks!), please have a look at our Contributing Guide.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Saransh 💻 🐛 🖋 📖 🎨 💡 🤔 🚇 🚧 📦 👀 ⚠️ ✅ 🧑‍🏫

Priyanshi Goel 🐛

This project follows the all-contributors specification. Contributions of any kind welcome!