Line segmentation refers to the process of dividing a text document into individual lines or segments of text. This technique is commonly utilized in optical character recognition (OCR) software, which is used to digitize printed or handwritten text. The process of line segmentation involves detecting the boundaries between lines of text and separating them in order to improve the accuracy of the OCR engine. Line segmentation can be a complex task, as text can be written at different angles, with varying sizes and orientations. However, with the help of advanced algorithms and machine learning techniques, modern OCR software is capable of accurately segmenting and recognizing text from a wide variety of sources.
About Our Client
It is with great pleasure that we introduce our esteemed Japanese client company operating in the finance industry. In 2021, Eastgate Software had the opportunity to collaborate with them on an OCR project related to line segmentation. Our team was honored to assist them in achieving their desired outcome through a thorough understanding of their requirements and utilizing our expertise in this area. We are committed to delivering efficient and quality-driven solutions to our clients, and this project is a testament to our dedication. We look forward to continuing our partnership with this esteemed company and fulfilling their future requirements with utmost professionalism.
The objective of this project was to fulfill our client’s specific requirements, which entailed replacing an existing text line segmentation engine with a novel deep learning model for text segmentation. With a goal of delivering a superior product for our customer, we strived to bring our expertise in artificial intelligence to bear on the challenge at hand.
Our Approach & The Solution
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