Book Image

Java for Data Science

By : Richard M. Reese, Jennifer L. Reese
Book Image

Java for Data Science

By: Richard M. Reese, Jennifer L. Reese

Overview of this book

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions
Table of Contents (19 chapters)
Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Extracting text from an image


The process of extracting text from an image is called O ptical Character Recognition (OCR). This can be very useful when the text data that needs to be processed is embedded in an image. For example, the information contained in license plates, road signs, and directions can be very useful at times.

We can perform OCR using Tess4j (http://tess4j.sourceforge.net/), a Java JNA wrapper for Tesseract OCR API. We will demonstrate how to use the API using an image captured from the Wikipedia article on OCR (https://en.wikipedia.org/wiki/Optical_character_recognition#Applications). The Javadoc for the API is found at http://tess4j.sourceforge.net/docs/docs-3.0/. The image we use is shown here:

Using Tess4j to extract text

The ITesseract interface contains numerous OCR methods. The doOCR method takes a file and returns a string containing the words found in the file, as shown here:

ITesseract instance = new Tesseract();  
try { 
    String result = instance.doOCR...