OCR (Optical Character Recognition

Optical Character Recognition or OCR is a technology that reads, recognize & extract the text from any type of documents, images, scanned copies and files. Business is all about digitizing and automating anything and everything in our surrounding nowadays.

Getting into a situation where you have to read understand and retype the text written on an image of scanned copies can be complex and time taking. It takes a lot of hard work and several hours together to digitize the text written in any of that format. Basically, a simple scanner is not capable to convert that text into the editable format by digitizing it for you. Using Microsoft word editor will mostly make it available in an image format for you where editing is not at all possible.

Here, you need an OCR software that helps you read recognize and extract the text from any hard copy of the document whether it is scanned copy, a printed document, a Pdf file or any image format like JPG, PNG and many more.

In order to extract the reusable data from any of the document type OCR identifies the text on the image; understand into a word format and then convert them into a sentence by making the text available to you for editing into a digitized format.

We all are experiencing the wonders of IoT device using Speech Recognition technologies in our day to day life wherein other hand OCR leverages and utilize the concept of Text Recognitions to simplifying your day to day business overheads due to the time consumed in converting and typing the text from a different source of documents.

The human brains mechanism to understand the object is very complex, and there is no proper answer that how does it recognizes and understands the things. There are millions of algorithms are being created and tested by the researchers to relate the ability with technology.

 OCR analyzes the structure of the document/ image and divides them into a block of text, images, and tables. Then it serializes those into lines, then words and then into characters.

Benefits of OCR

• Text recognition from any type of documents.
• Handwriting recognition
• Effective and Efficient Office work
• Better Production Time Utilization
• Reduces Typing Errors and Cost
• Faster Process Execution
• Security from loss of data through Digitize Data

Hidden Markov models HMM together with dynamic programming has been widely used in the Field of speech recognition. Lately, these methods have also appeared within the field of optical character recognition. Some examples of applications are Handwritten Word Recognition and Keyword Spotting.

Two main approaches have been used constructing a Markov model either for each word or for each character. The latter approach is chosen for our application because it does not require a limited vocabulary.

HMM works on the mechanism that identifies one probability of any occurring through another set of probabilities and produces a sequence of observation.  Probability transitions define Markov chains through which it recognizes and identifies the written or hidden text in any type of document.

The OCR technology covers below aspects

• Character Representation Training
• Feature Extraction Techniques
• Parameter Estimations
• Final Text Recognition
• Level building
• Experimental results
• Final results

Google Lens working on OCR technology 

Google lens is an OCR inbuilt mobile application that recognizes the text from images. It’s been designed to extract the relevant information from any set of the image through visual analysis.

How does it work? The moment you direct your phone camera at a certain object, Google lens attempts to analyze, recognize and identifies the object. It read the levels, blocks, address and text to provide the relevant information to the users. For example, taking a picture of a barcode on the certain product will provide the information related to that particular product.

Let’s take an example of pointing out the camera to a label containing Wi-Fi network and password will allow you to automatically connect with that device. Objects that identify by Google lens once will be available for other time.

Google Lens for Business

Google lens feature is ideal for the business process, where you are looking to get a quick summary of any event or document by giving better suggestions. Using its Smart Text feature you can easily recognize and identify Text and use it in other documents by copying and pasting. Its features will automatically show you the relevant image for a particular text for a better understanding of context. For example, if you are looking at a restaurant label hanging somewhere on the street wrote as Mexican cosine, Google lens will show you the dishes images to make you understand what it is. Google uses machine learning and Deep learning approach algorithms to serve the business purpose smartly and efficiently. Google Lens usage Cloud TPUs, to identify billions of words, images, phrase, places and thing in a fraction of seconds.

It also inbuilt Real-Time text translations to help the business traveler to understand the particular language of communication while traveling abroad. If you are developing and smart Camera reliant APP it could be the best choice for you.

Smart Features of Google Lens using OCR

• Copy Paste Text Easily
• Find similar products
• Getting Quick info about particular books
• Identify object
• Scan QR Codes
• Adding Meeting and Events