Deep learning Optical Character Recognition in PCB Dark Silk Recognition

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

Optical Character Recognition

This paper describes two implementations in optical character recognition using template matching method and feature extraction method followed by support vector machine classification. With proper image preprocessing, the texts are segmented into isolated characters and the correlations between a single character and a given set of templates are computed to find the similarities and then ident...

Ocr-optical Character Recognition

Optical Character Recognition or OCR is the electronic translation of handwritten, typewritten or printed text into machine translated images. It is widely used to recognize and search text from electronic documents or to publish the text on a website. OCR is the machine replication of human reading and has been the subject of intensive research for more than three decades. OCR can be described...

Understanding Optical Character Recognition

Signboard Optical Character Recognition

Goal We will specifically tackle the problem of the signboard character recognition. Although OCR has been around for a while and is now commonly used to convert scanned documents [3] and license plate [1] to text, the problem we are tackling here is more interesting. Specifically, the signboard can be of different color, the signboard text can be non-standard, the signboard image can be taken ...