PARALLEL PROCESSING OF HANDWRITTEN TEXT FOR IMPROVED BIQE ACCURACY

Optimizing the accuracy of BIQE systems is crucial for their effective deployment in various applications. Handwritten text recognition, a key component of BIQE, often faces challenges due to its inherent variability. To mitigate these difficulties, we explore the potential of batch processing. By analyzing and classifying handwritten text in batch