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 ...

Optical Character Recognition (OCR) is one of the challenging areas of pattern recognition. It gained popularity among the research community due to its vast application potentials. Extensive research has been done on OCR evidenced by a large number of research articles published in the literature during the last few decades. Most of the research works reported in this area are for Roman, Chine...

Recognition of characters relates to emblematic identity with the image of character. Majority of the OCR systems input characters are first converted to digital form by an optical scanner. Every character is first located and segmented, and the resulting character image is fed into a preprocessor for noise reduction and normalization. Certain characteristics are the extracted from the characte...

Given a scanned score page, Optical Music Recognition (OMR) attempts to reconstruct all contained music information. However, the available OMR systems lack the ability to recognize transposition information contained in complex orchestral scores. 1 An additional unsolved OMR problem is the handling of orchestral scores using compressed notation. 2 Here, the information of which instrument has ...

The effectiveness of evolutionary learning depends both on the variation-selection search operations used and on the structure-function relations of the organization to which these operations are applied. Some organizations-in particular those that occur in biology-are more evolution friendly than others. We describe an artificial neuromolecular (ANM) architecture that illustrates the structure...

This paper presents a precise system for handwritten Chinese and Japanese character recognition. Before extracting directional element feature (DEF) from each character image, transformation based on partial inclination detection (TPID) is used to reduce undesired effects of degraded images. In the recognition process, city block distance with deviation (CBDD) and asymmetric Mahalanobis distanc...

The Problem: In [3], we address the classic problem of handwritten character recognition. That is, given some classlabeled training examples of images of handwritten characters, identify the class of each of a set of test examples to the greatest possible accuracy. For example, when given a particular image of the character “8”, identify it as such. On isolated single character test images, suc...

Emotion recognition in microblogs like Twitter is the task of assigning an emotion to a post from a predefined set of labels. This is often performed based on the Tweet text. In this paper, we investigate wether information from attached images contributes to this classification task. We use o↵-the-shelf tools to extract a signal from an image. Firstly, with employ optical character recognition...

This paper proposes a new method to compare similarities of candidate models that are fitted to different areas of a query image. This method extracts the discriminant features that are changed due to the varying pose/lighting condition of given query image, and the confidence of each model-fitting is evaluated based on how much of the discriminant features is captured in each foreground. The c...