OCR을 사용하여 이미지에서 추출된 텍스트를 효율적으로 문자열 일치시키고 확인하는 데 Apache Spark를 어떻게 사용할 수 있습니까?

<code class="scala">import org.apache.spark.ml.feature.{RegexTokenizer, NGram, HashingTF, MinHashLSH, MinHashLSHModel}

// Input text
val query = Seq("Hello there 7l | real|y like Spark!").toDF("text")

// Reference data
val db = Seq(
  "Hello there ?! I really like Spark ❤️!", 
  "Can anyone suggest an efficient algorithm"
).toDF("text")

// Create pipeline
val pipeline = new Pipeline().setStages(Array(
  new RegexTokenizer().setPattern("").setInputCol("text").setMinTokenLength(1).setOutputCol("tokens"),
  new NGram().setN(3).setInputCol("tokens").setOutputCol("ngrams"),
  new HashingTF().setInputCol("ngrams").setOutputCol("vectors"),
  new MinHashLSH().setInputCol("vectors").setOutputCol("lsh")
))

// Fit on reference data
val model = pipeline.fit(db)

// Transform both input text and reference data
val db_hashed = model.transform(db)
val query_hashed = model.transform(query)

// Approximate similarity join
model.stages.last.asInstanceOf[MinHashLSHModel]
  .approxSimilarityJoin(db_hashed, query_hashed, 0.75).show</code>