Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …

Textline segmentation in ancient handwritten documents is still considered as a challenging
task in document analysis and recognition field even though various rule-based methods …

Segmentation is a very critical stage in the character recognition process as the performance
of any character recognition system depends heavily on the accuracy of segmentation …

One of the major applications of text retrieval from images is to extract the text information
and then recognize its characters. This is helpful for indexing the images within storage …

Text segmentation from degraded Historical Indus script images helps Optical Character
Recognizer (OCR) to achieve good recognition rates for Hindus scripts; however, it is …

Most of the algorithms proposed for text line detection are designed to process binary
images as input. For severely degraded documents, binarization often introduces significant …

In this paper, we present our new method for the segmentation of handwritten text pages into
lines, which has been submitted to ICDAR'2013 handwritten segmentation competition. This …

Handwriting is considered to be one of the commonly used biometric modalities to verify and
identify persons in commercial, governmental and forensic applications. In order to test and …

Textline segmentation is an important preprocess before trying to recognize words.
Handwritten texts include complex lines such as connected/overlapped, multi skewed, and …

In this paper, we propose a new writing type and script text classification technique to
recognize the identity of texts extracted from heterogeneous document images. English …