Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Ripeness classification is one of the most challenging tasks in the postharvest management
of mulberry fruit. The risks of microbial contamination and human error in manual sorting are …

Holistic-based or segmentation-free handwritten word recognition is one of a pattern
recognition problem that aims to recognize the entire word image as a single entity. It is a …

Handwriting recognition (HWR) in Indic scripts is a challenging problem due to the inherent
subtleties in the scripts, cursive nature of the handwriting and similar shape of the …

Postal documents are often used for official communication, online shop**, etc. At times,
the delivery gets delayed due to multiple scripts leading to the need for postal sorting …

Significant progress has made in pattern recognition technology. However, one obstacle that
has not yet overcome is the recognition of words in the Brahmi script, specifically the …

Organ tablature music notation differs considerably in structure and form from the music
notation used today. The manual transcription of organ tablature compositions to modern …

We present a novel Indic handwritten word recognition scheme by fusion of spatio-temporal
information extracted from handwritten images. The main challenge in Indic word …

Modeling accurate text recognizers for scanned Devanagari scripts is a challenging task,
primarily due to the ingrained complexities of characters, vowels, conjuncts, and modifiers in …

Day by Day, the trend of using social media (SM) has increased among the people. With the
increasing rate, the use of Banglish (Merge of Bangla and English) and shortcut words has …