OCR

OCR

course

Optical Character Recognition using A.I.

Duration : 6 months    Classes : 36     Days : Weekdays / Weekends

Optical Character Recognition (OCR) refers to Reading text from image or reading hand written characters using an AI technique. Among many application, these are used in multiple AI softwares today, be it Tesla, Google translate, Logistics, Postal and Finance Services in all Developed Countries.

OCR is the key technology in computer vision and document processing. This course provides a comprehensive introduction to the principles, algorithms, and practical applications of OCR and document analysis. Participants will explore how OCR systems convert printed or handwritten text from images and scanned documents into machine-readable formats. You shall be exposed to a new way of thinking on how to tell Machines to READ images like a human, how to scan documents using a AI techniques, with an emphasis on modern techniques utilizing machine learning and deep learning.

Target Audience:-
- Data Analysts and Data Scientists
- AI / ML / DS - Engineers
- Computer Science students
- IT Professionals looking to transition into Anamoly Detection
- Research Scholars and AI Enthusiasts
- Professionals in document-heavy industries such as finance, bank, healthcare, logistics, and government

Learning Outcomes:-
- Understand the full OCR pipeline from image to text
- Build OCR pipelines for structured and unstructured documents
- Build and deploy OCR solutions using open-source and cloud tools
- Evaluate OCR accuracy
- Optimize OCR performance for real-world use

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

- You need to have intermediate to advanced Python experience. You are familiar with object-oriented Programming. You can write nested for loops and can read and understand code written by others.

-Intermediate Statistics background. You are familiar with Probability.

-Intermediate knowledge of machine learning techniques. You can describe backpropagation, and have seen a few examples of Neural Network architecture (preferrably a recurrent Neural Network or a long short-term memory network).

-You have seen or worked with a Deep Learning framework like TensorFlow, Keras, or PyTorch before.



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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to OCR
✔ What is OCR and why it matters
✔ History and evolution of OCR technology
✔ Applications and Use Cases

Module 2: Image Preprocessing
✔ Grayscale conversion, binarization, and thresholding
✔ Noise reduction and smoothing
✔ Skew correction and rotation
✔ Contour detection and segmentation
✔ Edge, corner, and feature detection

Module 3: OCR Tools and Libraries
✔ ...
✔ ...

Module 4: Text Extraction Techniques
✔ Character segmentation and recognition
✔ Layout analysis and bounding boxes
✔ Extracting text from scanned documents, photos, and PDFs
✔ Multilingual OCR and handwriting recognition

Module 5: Deep Learning for OCR
✔ Using Convolutional Neural Networks (CNNs) for character recognition
✔ Autoencoders and LSTM for sequence modeling
✔ Building custom OCR models with TensorFlow or PyTorch
✔ CTC (Connectionist Temporal Classification) Loss
✔ Transfer learning and model fine-tuning

Module 6: Cloud-Based OCR APIs
✔ Google Vision API
✔ AWS Textract
✔ Microsoft Azure Cognitive Services
✔ Comparing performance and use cases
✔ Using the Transformer architecture

Module 7: Evaluation and Optimization
✔ Accuracy metrics: precision, recall, F1-score
✔ Post-processing: spell correction and formatting
✔ Performance tuning and error handling

Module 8: Capstone Project
✔ Build an end-to-end OCR pipeline
✔ Apply OCR to real-world documents (e.g., invoices, ID cards, forms)
✔ Deploy as a web or desktop application



NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.

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